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  1. Article ; Conference proceedings: Homeopathy in iatrogenic disorders – risk factors, treatment and prevention

    Pareek, P

    Allgemeine Homöopathische Zeitung

    2017  Volume 262, Issue 02

    Event/congress LMHI Homeopathic World Congress Leipzig 2017, Kongresshalle Leipzig, 2017-06-14
    Language English
    Publishing date 2017-03-01
    Publisher Georg Thieme Verlag KG
    Publishing place Stuttgart ; New York
    Document type Article ; Conference proceedings
    ZDB-ID 2124175-2
    ISSN 1439-8990 ; 1438-2563
    ISSN (online) 1439-8990
    ISSN 1438-2563
    DOI 10.1055/s-0037-1601172
    Database Thieme publisher's database

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  2. Article ; Conference proceedings: Homeopathy in autoimmune disorders

    Pareek, P

    Allgemeine Homöopathische Zeitung

    2017  Volume 262, Issue 02

    Event/congress LMHI Homeopathic World Congress Leipzig 2017, Kongresshalle Leipzig, 2017-06-14
    Language English
    Publishing date 2017-03-01
    Publisher Georg Thieme Verlag KG
    Publishing place Stuttgart ; New York
    Document type Article ; Conference proceedings
    ZDB-ID 2124175-2
    ISSN 1439-8990 ; 1438-2563
    ISSN (online) 1439-8990
    ISSN 1438-2563
    DOI 10.1055/s-0037-1601173
    Database Thieme publisher's database

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  3. Article ; Online: Snapshots Quiz.

    Soni, S / Pareek, P / Vyas, R K

    The British journal of surgery

    2021  Volume 108, Issue 10, Page(s) 1206

    Language English
    Publishing date 2021-06-29
    Publishing country England
    Document type Journal Article
    ZDB-ID 2985-3
    ISSN 1365-2168 ; 0263-1202 ; 0007-1323 ; 1355-7688
    ISSN (online) 1365-2168
    ISSN 0263-1202 ; 0007-1323 ; 1355-7688
    DOI 10.1093/bjs/znab235
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Uk I Zs.66: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  4. Article ; Online: In Regard to Lee et al.

    Pareek, Puneet

    International journal of radiation oncology, biology, physics

    2017  Volume 97, Issue 2, Page(s) 437

    Language English
    Publishing date 2017-02-01
    Publishing country United States
    Document type Letter
    ZDB-ID 197614-x
    ISSN 1879-355X ; 0360-3016
    ISSN (online) 1879-355X
    ISSN 0360-3016
    DOI 10.1016/j.ijrobp.2016.10.020
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1218: Show issues Location:
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    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  5. Article: Enhancing fraud detection in banking by integration of graph databases with machine learning.

    Patil, Ayushi / Mahajan, Shreya / Menpara, Jinal / Wagle, Shivali / Pareek, Preksha / Kotecha, Ketan

    MethodsX

    2024  Volume 12, Page(s) 102683

    Abstract: The banking sector's shift from traditional physical locations to digital channels has offered customers unprecedented convenience and increased the risk of fraud for customers and institutions alike. In this study, we discuss the pressing need for ... ...

    Abstract The banking sector's shift from traditional physical locations to digital channels has offered customers unprecedented convenience and increased the risk of fraud for customers and institutions alike. In this study, we discuss the pressing need for robust fraud detection & prevention systems in the context of evolving technological environments. We introduce a graph-based machine learning model that is specifically designed to detect fraudulent activity in various types of banking operations, such as credit card transactions, debit card transactions, and online banking transactions. This model uses advanced methods for anomalies, behaviors, and patterns to analyze past transactions and user behavior almost immediately. We provide an in-depth methodology for evaluating fraud detection systems based on parameters such as Accuracy Recall rate and False positive rate ROC curves. The findings can be used by financial institutions to develop and enhance fraud detection strategies as they demonstrate the effectiveness and reliability of the proposed approach. This study emphasizes the critical role that innovative technologies play in safeguarding the financial sector from the ever-changing strategies of fraudsters while also enhancing banking security.•This paper aims to implement the detection of fraudulent transactions using a state-of-the-art Graph Database approach.•The relational graph of features in the dataset used is modelled using Neo4J as a graph database.•Applying JSON features from the exported graph to various Machine Learning models, giving effective outcomes.
    Language English
    Publishing date 2024-04-04
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2830212-6
    ISSN 2215-0161
    ISSN 2215-0161
    DOI 10.1016/j.mex.2024.102683
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Different glassy characteristics are related to either caging or dynamical heterogeneity.

    Pareek, Puneet / Adhikari, Monoj / Dasgupta, Chandan / Nandi, Saroj Kumar

    The Journal of chemical physics

    2023  Volume 159, Issue 17

    Abstract: Despite the enormous theoretical and application interests, a fundamental understanding of the glassy dynamics remains elusive. The static properties of glassy and ordinary liquids are similar, but their dynamics are dramatically different. What leads to ...

    Abstract Despite the enormous theoretical and application interests, a fundamental understanding of the glassy dynamics remains elusive. The static properties of glassy and ordinary liquids are similar, but their dynamics are dramatically different. What leads to this difference is the central puzzle of the field. Even the primary defining glassy characteristics, their implications, and if they are related to a single mechanism remain unclear. This lack of clarity is a severe hindrance to theoretical progress. Here, we combine analytical arguments and simulations of various systems in different dimensions and address these questions. Our results suggest that the myriad of glassy features are manifestations of two distinct mechanisms. Particle caging controls the mean, and coexisting slow- and fast-moving regions govern the distribution of particle displacements. All the other glassy characteristics are manifestations of these two mechanisms; thus, the Fickian yet non-Gaussian nature of glassy liquids is not surprising. We discover a crossover, from stretched exponential to a power law, in the behavior of the overlap function. This crossover is prominent in simulation data and forms the basis of our analyses. Our results have crucial implications on how the glassy dynamics data are analyzed, challenge some recent suggestions on the mechanisms governing glassy dynamics, and impose strict constraints that a correct theory of glasses must have.
    Language English
    Publishing date 2023-11-02
    Publishing country United States
    Document type Journal Article
    ZDB-ID 3113-6
    ISSN 1089-7690 ; 0021-9606
    ISSN (online) 1089-7690
    ISSN 0021-9606
    DOI 10.1063/5.0166404
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Bonn / Germany

    Z 4' 49/16: Show issues

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  7. Article ; Online: Telephonic Triage and Telemedicine During the Peak of COVID-19 Pandemic - Restricting Exposure to Healthcare Professionals.

    Mittal, Aliza / Pareek, Puneet

    Indian pediatrics

    2020  Volume 57, Issue 10, Page(s) 973–974

    MeSH term(s) Betacoronavirus ; COVID-19 ; Coronavirus Infections ; Humans ; Pandemics ; Pneumonia, Viral ; SARS-CoV-2 ; Telemedicine ; Triage
    Keywords covid19
    Language English
    Publishing date 2020-08-11
    Publishing country India
    Document type Letter ; Comment
    ZDB-ID 402594-5
    ISSN 0974-7559 ; 0019-6061
    ISSN (online) 0974-7559
    ISSN 0019-6061
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 859: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  8. Book ; Online: Data-Efficient Power Flow Learning for Network Contingencies

    Pareek, Parikshit / Deka, Deepjyoti / Misra, Sidhant

    2023  

    Abstract: This work presents an efficient data-driven method to learn power flows in grids with network contingencies and to estimate corresponding probabilistic voltage envelopes (PVE). First, a network-aware Gaussian process (GP) termed Vertex-Degree Kernel (VDK- ...

    Abstract This work presents an efficient data-driven method to learn power flows in grids with network contingencies and to estimate corresponding probabilistic voltage envelopes (PVE). First, a network-aware Gaussian process (GP) termed Vertex-Degree Kernel (VDK-GP), developed in prior work, is used to estimate voltage-power functions for a few network configurations. The paper introduces a novel multi-task vertex degree kernel (MT-VDK) that amalgamates the learned VDK-GPs to determine power flows for unseen networks, with a significant reduction in the computational complexity and hyperparameter requirements compared to alternate approaches. Simulations on the IEEE 30-Bus network demonstrate the retention and transfer of power flow knowledge in both N-1 and N-2 contingency scenarios. The MT-VDK-GP approach achieves over 50% reduction in mean prediction error for novel N-1 contingency network configurations in low training data regimes (50-250 samples) over VDK-GP. Additionally, MT-VDK-GP outperforms a hyper-parameter based transfer learning approach in over 75% of N-2 contingency network structures, even without historical N-2 outage data. The proposed method demonstrates the ability to achieve PVEs using sixteen times fewer power flow solutions compared to Monte-Carlo sampling-based methods.
    Keywords Computer Science - Machine Learning ; Electrical Engineering and Systems Science - Systems and Control
    Subject code 006
    Publishing date 2023-10-01
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article: Association of Premenstrual Syndrome with Adiposity and Nutrient Intake Among Young Indian Women.

    Thakur, Harshada / Pareek, Priyanka / Sayyad, Mehmood G / Otiv, Suhas

    International journal of women's health

    2022  Volume 14, Page(s) 665–675

    Abstract: Abstract: Premenstrual syndrome (PMS) refers to a heterogenous group of symptoms occurring in luteal phase of the menstrual cycle. Women of childbearing age are affected by PMS, and it may impact their quality of life. Various factors related to the ... ...

    Abstract Abstract: Premenstrual syndrome (PMS) refers to a heterogenous group of symptoms occurring in luteal phase of the menstrual cycle. Women of childbearing age are affected by PMS, and it may impact their quality of life. Various factors related to the biology of menstruation, hormones, and lifestyle are associated with PMS.
    Purpose: To explore the incidence and severity of PMS among students in India and its correlation with nutrient intake, adiposity, and lifestyle factors.
    Methods: A semi-structured questionnaire was used to collect data on menstrual pattern, nutrient intake, dietary habits, and physical activity. Moose's Menstrual Distress Questionnaire and Premenstrual Symptoms Screening Tool were employed for the identification and classification of PMS. Anthropometric indices included height, weight, body mass index, waist circumference, hip circumference, waist-to-hip ratio, and four-site skinfold thickness-tricep, bicep, subscapular, and suprailiac.
    Results: Of the 330 participants, 71.3% reported to have experienced at least one symptom of PMS. Furthermore, 46.9% had mild PMS, 31.5% had moderate PMS, 8.3% had strong PMS, and 13.3% had no symptoms. Anxiety and irritability were the most observed symptoms. The mean body mass index (BMI) of the participants was within the normal range (21.76 ± 4.81 kg/m
    Conclusion: PMS was associated with anthropometric parameters, nutrient intake, and dietary preference. PMS showed correlation with the intake of calorie-rich foods, sweets, and fried salted snacks, whereas consumption of oilseeds alleviated its incidence.
    Language English
    Publishing date 2022-05-04
    Publishing country New Zealand
    Document type Journal Article
    ZDB-ID 2508161-5
    ISSN 1179-1411
    ISSN 1179-1411
    DOI 10.2147/IJWH.S359458
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  10. Article ; Online: Comparison of sequential versus simultaneous integrated boost of volumetric modulated arc therapy in treatment of oropharyngeal carcinoma.

    Kachhwaha, Avni / Tiwari, Ramakant / Gayen, Sanjib / Manna, Sumanta / Solanki, Akanksha / Devnani, Bharti / Pareek, Puneet

    Cancer treatment and research communications

    2023  Volume 36, Page(s) 100721

    Abstract: Objective: Volumetric modulated arc therapy (VMAT) is a useful treatment technique that can reduce treatment time while producing improved dose distribution to target structures. The main aim of the study is to evaluate the outcome of oropharyngeal ... ...

    Abstract Objective: Volumetric modulated arc therapy (VMAT) is a useful treatment technique that can reduce treatment time while producing improved dose distribution to target structures. The main aim of the study is to evaluate the outcome of oropharyngeal cancer patients treated with VMAT, sequential (SEQ) versus simultaneous integrated boost (SIB) technique in terms of survival and failures and to assess late radiation toxicities with their dosimetric parameters.
    Material and methods: Total 54 patients of histologically proved oropharyngeal cancer patients treated by definitive radiotherapy using VMAT technique in January 2019 to December 2020 were followed up and evaluated in terms of survival, patterns of failure and late radiation toxicities by RTOG toxicity criteria.
    Results: After a median follow up of 12 months, overall survival (OS) and disease free survival (DFS) were 64.8% and 48.1% respectively. In terms of patterns of failure, 44.4% showed local recurrence, 7.4% as regional relapse and 3.7% showed distant metastasis. While comparing sequential versus SIB, no significant difference was found in OS (64.9% vs. 59.8%, p = 0.689), DFS (52.8% vs. 35.3%, p = 0.266), local control (LC) (58.3% vs. 47.1%, p = 0.437) and regional control (RC) (94.3% vs. 88.2%, p = 0.151) respectively. Among late radiation toxicities, the most common were xerostomia (42.2% for SEQ and 24.2% for SIB group), dysphagia (33.3% for SEQ and 15.1% for SIB group) and hoarseness of voice (15.1% for SEQ and 12.1% for SIB group).
    Conclusion: SIB technique proved better than SEQ technique in terms of pattern of failure or late toxicity, but no significant difference can be reported.
    MeSH term(s) Humans ; Radiotherapy, Intensity-Modulated/adverse effects ; Radiotherapy, Intensity-Modulated/methods ; Radiotherapy Planning, Computer-Assisted/methods ; Neoplasm Recurrence, Local ; Carcinoma ; Oropharyngeal Neoplasms/radiotherapy
    Language English
    Publishing date 2023-05-24
    Publishing country England
    Document type Journal Article
    ISSN 2468-2942
    ISSN (online) 2468-2942
    DOI 10.1016/j.ctarc.2023.100721
    Database MEDical Literature Analysis and Retrieval System OnLINE

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