bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analisis Pengaruh Budaya Organisasi dan Komitmen Organisasi terhadap Kinerja Karyawan yang Dimediasi oleh Kepuasan Kerja
Authors: Anggriyani Yuli , Iskandarini Iskandarini 
Published: February 2024

The purpose of this study is to analyze the influence of organizational culture and organizational commitment on employee performance mediated by job satisfaction in PT. ABC. The population of this study is all employees working at the mill which amounts to 80 employees. Sample determination is carried out by saturated sampling technique. Data collection is carried out by distributing questionnaires or questionnaires. Data analysis using path analysis. The results of this study show the positive and significant influence of organizational culture on employee performance. Organizational commitment has a positive and significant effect on employee performance. Organizational culture and organizational commitment have a positive and significant effect on job satisfaction and job satisfaction has a significant effect on employee performance. Furthermore, it is also known that job satisfaction can mediate the relationship between organizational culture and organizational commitment to performance.
Comparison of Conventional Machine Learning and Deep Neural Network Algorithms in the Prediction of Monkey-Pox
Authors: Agustyaningrum Cucu Ika , Dahlia Rizka , Pahlevi Omar 
Published: February 2024

Smallpox syndrome, or monkeypox, is an uncommon zoonotic viral infection brought on by the monkeypox virus, which belongs to the genus Orthopoxvirus and family Poxviridae. Injury-related mortality in primates ranges from 1 to 10%. Data mining is a method for analyzing data. Deep neural networks and traditional machine learning methods are used in data analysis. The Python programming language is used during the comparison procedure of this research algorithm to generate values for accuracy, f1 score, precision, recall, ROC, and AUC. The test results demonstrate that using sigmoid activation function parameters, the deep neural network algorithm's accuracy is 70.08%, F1 score is 79.18%, precision is 68.59%, recall is 62.65%, and AUC is 62.65%. Compared to conventional machine learning algorithms, the adagrad optimizer has a higher value with a learning rate of 0.01 and 0.2 dropouts. The conventional machine learning model algorithm has the best xgboost, F1 score, precision, recall, and AUC scores compared to other approaches: 64.40%, 64.45%, and 78.14%. According to these numbers, the average fairness disparity between deep neural network algorithms and traditional machine learning is 5.68%, F1 score is 13.79%, precision is 4.14%, recall is 1.75%, and AUC is 1.75%.
The state of Russian national fisheries in the Northern Fishery Basin at the beginning of the 21st century
Authors: Grekov A. A. , Dolgov A. V. , Kovalev Yury A. , Mukhin Viacheslav A. , Prozorkevich Dmitry V. , Sokolov Konstantin M. , Yaragina Natalia A. 
Published: February 2024

The purposeof the work is to review of Russian fisheries evolution and modern condition in the Northern Fishery Basin in the first decades of the 21st century to improve the Russian fishery management.The work is based onthe data collected by the Polar Branch of the «VNIRO» (N. M. Knipovich «PINRO»), the data of the ICES Working Group on Arctic Fisheries, the decisions of the Joint Norwegian-R ussian Fisheries Commission sessions, the results of the Russian- Norwegian research surveys for the assessment of pelagic and demersal fish stocks and information about the Russian fishing fleet structure and fishing activities.Relevants and findings. The summarized materials on the evolution and modern status of the Russian fisheries in the Barents Sea as the main fisheries are in the north-w estern Russia at the beginning of the 21st century are presented for the first time. The dynamics of stocks and catches of demersal and pelagic fish in 2000–2020 was analyzed. In the observed period in the Barents Sea, the highest biomass of stocks and catches were characteristic of bottom fish species, while stocks and catches of pelagic fish were at an average or even low level. In general, the first decades of the 21st century were favorable for the Russian fishery in the Barents Sea. Additionally, the current state of fisheries in the White and the Kara seas, which are significantly different from the Barents Sea by environmental conditions, legal status and marine biological resources, are considered. Commercial stocks there are significantly underutilized by the Russian fishery. In the Barents Sea, while maintaining fish stocks biomasses at the current levels following by the continuing the hydrologically warm period in the Arctic, the stabilization of the Russian catch at the levels close to existing values is expected.Practical importance.The results obtained will improve the efficiency of the Russian fishing fleet operated in the Northern Fishery Basin.
Use of the raw material base of marine fish in Russian waters of the Far Eastern seas and adjacent areas of the open part of the Pacific Ocean in 2000–2020
Authors: Antonov Nikolaj P. , Datsky Andrej  V. , Smirnov Andrej  A. , Kuznetsova Elena  N. , Vedishcheva Elena  V. , Golovatyuk Galina Yu. 
Published: February 2024

The purpose of the work:characteristics of the raw material base of marine fish in the Far Eastern fishery basin and an assessment of the effectiveness of its use by domestic fisheries at the present stage (2000–2020).Methods used:to achieve this goal, data on biomass, catch and development of the main commercial marine fish were analyzed. Fish catches were reviewed based on operational information about the fishery based on daily ship reports from the industry monitoring system.Novelty:elements of novelty are generalized modern materials on biomass, catch and development of marine fish resources in the Far Eastern seas and adjacent waters of the Pacific Ocean. The current state of commercial fish stocks (walleye pollock, Pacific cod, saffron cod, Pacific herring, Righteye flounders, greenlings, Japanese pilchard, Chub mackerel, Pacific saury) in the Far Eastern fishing basin can be characterized as stable, and the distribution of the catch of these objects among individual fishing areas due to their significant volumes is practically determines the distribution of catch of both quota and non-quota species of marine fish. Scientific information support for the above-m entioned fish is at a high level, their biological condition is generally favorable, and the dynamics of their numbers is regulated mainly by habitat variability.Practical significance:the results of this study can be used in forecasting the dynamics of aquatic biological resources, and the results obtained on marine fish stocks and fisheries will improve the efficiency of using their raw material base.
PENGEMBANGAN DESA WISATA SUNGAI SINGKUT SAROLANGUN PROVINSI JAMBI (PROGRAM DESA BERDAYA)
Authors: Ferry Simarmata Marudut Jon , Nur Fatah Praditya Wiradipati , Sulfarano Barusman Muhammad Yusuf , Dunan Hendri , Hartabela Dadang 
Published: February 2024

Untuk mewujudkan terlaksananya program TJSL di Provinsi Jambi dengan membuat kegiatan yaitu Pengembangan Desa Wisata Kali Singkut Sarolangun (Program Desa Berdaya), pengembangan yang dilakukan adalah dengan memanfaatkan potensi sumber daya alam yang ada yaitu wisata tepian air Selain itu, potensi SDM yang sangat mendukung keberhasilan Desa dalam mewujudkan pengembangan desa. Isu permasalahan dalam pengembangan desa wisata ini perlu adanya bantuan, Dengan potensi SDA dan SDM yang sudah ada maka Desa Payo Lebar dinilai sangat tepat untuk mendapatkan bantuan program TJSL agar dapat menjadi Desa Berdaya dan unggulan bagi pemerintah dan masyarakat, khususnya di wilayah Sumatera Bagian Selatan.
Stockholm Syndrome Dan Pemaafan (Forgiveness) Pada Remaja Perempuan Yang Mengalami Kekerasan Dalam Pacaran (Intimate Patner Violence)
Authors: Atmasari Ayuning , Dara Dwi April Liandani  
Published: February 2024

Stockholm Syndrome adalah suatu kondisi paradoks (bertenganaan) dengan psikologis, dimana akan timbul ikatan yang kuat antara korban terhadap pelaku kekerasan, ikatan ini meliputi rasa cinta korban terhadap pelaku, melindungi pelakuyang telah pacaran menganiayanya, menyalahkan diri sendiri sebagai penyebab kekerasan, dan menyangkal atau meminimalisir kekerasan yang terjadi (Agarwal, 2017). Penelitian ini bertujuan untuk mengetahui gambaran Stockholm Syndrome dan pemaafan (Forgiveness) pada remaja perempuan yang mengalami kekerasan dalam pacaran (Intimate Patner Violence). Jenis penelitian yang dilakukan adalah penelitian kualitatif deskriptif, dengan subjek yang berjumlah dua orang.
Orang yang mengalami kekerasan dalam pacaran ternyata sangat berdampak buruk bagi korban ntah itu dari segi fisik maupun psikologis, dari segi fisik korban akan mengalami luka dan lebam di bagian tubuh korban, kemudian dari kondisi psikologis akan membuat korban merasa cemas, emosi tidak stabil seperti menangis tiba-tiba, dan tidak fokus. Akan tetapi walaupun demikin kedua subjek masih mempertahankan hubungannya dengan alasan sudah merasa nyaman dan sangat cinta terhadap pasangannya sehingga hal itulah yang membuat ke dua subjek mampu bertahan dan memaafkan semua tindakan kekerasan yang dilakukan pasangannya.
Kata kunci: Remaja yang mengalami kekerasan dalam pacaran, stocholm
syndrome, pemaafan
Effectiveness of  Janus kinase  inhibitors in  rheumatoid  arthritis:  systematic review  and  meta-analysis
Authors: Cheberda A. E. , Belousov D. Yu. 
Published: February 2024

Aim. To assess the efficacy profiles of different dosing regimens of tofacitinib, baricitinib, and upadacitinib — novel selective oral Janus activated kinase inhibitors, in rheumatoid arthritis (RA). Materials and methods. Randomized controlled trials of tofacitinib, baricitinib and upadacitinib in RA were identified from MEDLINE, and Cochrane databases. Random- effects models were used to estimate pooled mean differences (MD) and relative risks (RRs). American College of Rheumatology 20 % (ACR20), Health Assessment Questionnaire–Disability Index (HAQ-DI) were calculated. Results. Twenty trials with an overall low risk of bias were identified. Tofacitinib, baricitinib, and upadacitinib improved RA control as deter -mined by ACR20 (RR, 2.03; 95 % CI, 1.87 to 2.20) and HAQ-DI (MD, −0.31; 95% CI, −0.34 to −0.28) compared with placebo. Conclusion. Tofacitinib, baricitinib, and upadacitinib significantly improve RA control. To make further decisions, comparative clinical trials of the Janus kinase inhibitors in the real-world clinical practice are necessary.
The Influence Of The Project Based Learning Model On The Understanding Of Islamic Religious Education Learning In Class 5 Students At SD Plus Mutiara Insani Purwakarta
Authors: Alifia Rahma Hidayat  , Dede Supendi  , Dyah Wulandari  
Published: February 2024

Based on the results of interviews with Islamic Religious Education teachers, there were several problems that hindered the Ramadhan fasting factor on students' understanding, including: there were still some students whose PAI understanding scores were below the KKM, method Less innovative learning makes students bored of learning PAI, there are still some students who don't understand PAI learning using conventional methods. The aim of this research is to determine the effect of the Project Based Learning learning model on the understanding of PAI learning for grade 5 students at SD Plus Mutiara Insani Purwakarta. The theory used in understanding learning is Bloom's Taxonomy, where the indicators are divided into 3 domains, namely: cognitive, affective and psychomotor. This research method uses a quantitative experimental method, with a Probability Sampling sampling technique. The number of samples used as respondents is 30.
Based on the results of research and data analysis, it shows that the Project Based Learning learning model and lecture method have a significant influence, this is shown by the average or mean T-Test results using the lecture method around 55.41, while using the Project Based Learning learning model around 55.41. 78.96, then there is an influence between the results of students' understanding of learning using the lecture method and the Project Based Learning learning model, shown by an increase in the results of learning understanding around 23%. This was strengthened again by significant results, namely the sig value. (2-tailed) with a value of 0.000 < 0.361.The Pretest average with a percentage of 31.96% is in the not good category, while the Posttest average with a percentage of 70.38% is in the good category. Therefore, it can be concluded that there is an influence between the Project Based Learning learning model and the lecture method on increasing the results of understanding PAI learning for grade 5 students at SD Plus Mutiara Insani Purwakarta using the Project Based Learning learning model and the lecture method.
Statistical Models for Condition Monitoring and State of Health Estimation of Lithium-Ion Batteries for Ships
Authors: Vanem Erik , Liang Qin , Bruch Maximilian , Bøthun Gjermund , Bruvik Katrine , Thorbjørnsen Kristian , Bakdi Azzeddine 
Published: February 2024

Battery systems are increasingly being used for powering ocean going ships, and the number of fully electric or hybrid ships relying on battery power for propulsion is growing. To ensure the safety of such ships, it is important to monitor the available energy that can be stored in the batteries, and classification societies typically require the state of health (SOH) to be verified by independent tests. This paper addresses statistical modelling of SOH for maritime lithium-ion batteries based on operational sensor data. Various methods for sensor-based, data-driven degradation monitoring will be presented, and advantages and challenges with the different approaches will be discussed. The different approaches include cumulative degradation models and snapshot models, models that need to be trained and models that need no prior training, and pure data-driven models and physics-informed models. Some of the methods only rely on measured data, such as current, voltage and temperature, whereas others rely on derived quantities such as state of charge (SOC). Models include simple statistical models and more complicated machine learning techniques. Insight from this exploration will be important in establishing a framework for data-driven diagnostics and prognostics of maritime battery systems within the scope of classification societies.

Conflict of Interest Statement
The authors declare no conflicts of interest.
The Influence of Training and Educational Beackground on The Employee Performance of Bank Rakyat Indonesia Kanca Bukittinggi With The Meadiation of Job Satisfcation
Authors: Yasril M. , Amali Rivai Harif , Syahrul Laura 
Published: February 2024

The aim of this research is to analyze the factors that influence employee performance at work, including training and educational background on employee performance with the employee’s job satisfaction as a mediating variable. Employee performance is an important thing that must be considered by management of a company in achieving company’s goals. The population of this research were the employees of Bank Rakyat Indonesia Kanca Bukittinggi with a sample of 67 people who were employees with the job position of Mantri. The analytical methode used descriptive statical analysis and factor description analysis used SmartPLS 4.0. The result of this study shows that training and eductional background have a positive and significant effect on job satisfaction; training and educational background have a positive and significant effect on employee performance; job satisfaction as a mediating variable has a partial mediating effect in mediating training on employee performance and job satisfaction as mediating variables also has a partial mediation effect in mediated the relationship of educational background towards employee performance.
Self-consistent Conditions for 26Al Injection into a Protosolar Disk from a Nearby Supernova
Authors: Sawada Ryo , Taki Tetsuo , Kurokawa Hiroyuki , Suwa Yudai 
Published: February 2024

Abstract
The early solar system contained a short-lived radionuclide, 26Al (its half-life time t
1/2 = 0.7 Myr). The decay energy of 26Al is thought to have controlled the thermal evolution of planetesimals and, possibly, the water contents of planets. Many hypotheses have been proposed for the origin of 26Al in the solar system. One of the possible hypotheses is the “disk injection scenario”: when the protoplanetary disk of the solar system had already formed, a nearby (<1 pc) supernova injected radioactive material directly into the disk. Such a 26Al injection hypothesis has been tested so far with limited setups for disk structure and supernova distance, which have treated disk disruption and 26Al injection separately. Here, we revisit this problem, to investigate whether there are self-consistent conditions under which the surviving disk radius can receive enough 26Al to account for the abundance in the early solar system. We also consider a range of disk masses and structures, 26Al yields from supernova, and a large dust mass fraction η
d. We find that 26Al yields of supernova are required as

≳
2.1
×

10

−
3

M

⊙

(

η

d

/

0.2
)

−
1

, which are challenging to achieve with the known possible 26Al ejection and dust mass fraction ranges. Furthermore, we find that even if the above conditions are met, the supernova flow changes the disk temperature, which may not be consistent with the solar system record. Our results place a strong constraint on the disk injection scenario. Rather, we suggest that the fresh 26Al of the early solar system must have been synthesized/injected in other ways.
CAR-T CELL THERAPY FOR T-CELL MALIGNANCIES
Authors: Testa Ugo , Chiusolo Patrizia , Pelosi Elvira , Castelli Germana , Leone Giuseppe 
Published: February 2024

Chimeric antigen receptor T-cell (CAR-T) therapy has revolutionized the treatment of B-cell lymphoid neoplasia and, in some instances, improved disease outcomes. Thus, six FDA-approved commercial CAR-T cell products that target antigens preferentially expressed on malignant B-cells or plasma cells have been introduced in the therapy of B-cell lymphomas, B-ALLs and multiple myeloma.
These therapeutic successes have triggered the application of CAR-T cell therapy to other hematologic tumors, including T-cell malignancies. However, the success of CAR-T cell therapies in T-cell neoplasms was considerably more limited to the existence of some limiting factors, such as the sharing of mutual antigens between normal T-cells and CAR-T cells, and malignant cells, determining fratricide events and severe T-cell aplasia; contamination of CAR-T cells used for CAR transduction with contaminating malignant T-cells. Allogeneic CAR-T products can avoid tumor contamination but raise other problems related to immunological incompatibility.
In spite of these limitations, there has been significant progress in CD7- and CD5-targeted CAR-T cell therapy of T-cell malignancies in the last few years.
Proteomics analysis techniques and Bioinformatics approaches for biomarkers discovery
Authors: Diouf Ousseynou Ben , Soumboundou Mamadou , Sall Cheikh 
Published: February 2024

Proteomics is the study of all the proteins expressed in the proteome and offer new avenues of research in the biomedical field. The recent development of protein analysis tools has continued to improve, offering a wide range of technologies categorised according to their ability to analyse and identify protein such as MSbased technology. These novels tools have been invaluable to the rise of proteomics and permitted significant progress in the identification of clinically applicable biomarkers and new therapeutic targets although detection of very low abundance proteins remains difficult. Due to the high throughput data generated by proteomic mass spectrometric analysis, automatic biomarker identification requires bioinformatics and database screening. Bioinformatics allows the development of new algorithms and software for the interpretation of mass spectrometry data in order to facilitate the exploitation of the data and the validation of potentially discovered biomarkers. The aim of this paper was to discuss the analytical techniques used in protein biomarker discovery and the usefulness of bioinformatics for the interpretation and validation of the data generated.
Recherche et caractérisation des cryoglobulinémies chez les donneurs de sang porteurs des anticorps anti-VHC à Lubumbashi, République Démocratique du Congo
Authors: Baleebenga Adolphe , Kabamba-Tshikongo Arsene , Longanga-Otshudi Albert 
Published: February 2024

La cryoglobulinémie constitue une des formes extra-hépatiques d’aggravation de l’hépatite C. A notre connaissance, aucune étude n’a été réalisée à ce jour à Lubumbashi sur ce sujet. Cette étude avait pour objectif de déterminer la prévalence et les types de cryoglobulines chez les donneurs de sang porteurs de l’hépatite C dans la ville de Lubumbashi. Il s’est agi d’une étude descriptive transversale analytique réalisée de novembre 2021 à juin 2022 à la banque de sang de l’hôpital Jason Sendwe à Lubumbashi. Au total, 1901 échantillons collectés chez les donneurs de sang avaient été analysés. La détection des cryoglobulines était réalisée par la méthode de précipitation à froid et leur caractérisation par électrophorèse capillaire. Pour le dépistage des anticorps anti-VHC, nous avons utilisé les tests de diagnostic rapide (TDR) et la mesure des paramètres biochimiques avait été réalisée par la méthode spectrophotométrique. La prévalence des anticorps anti-VHC et des cryoglobulines était de 4,9% et 46,8% respectivement. Les cryoglobulines identifiées étaient de type I, II et III. Les perturbations des paramètres biochimiques étaient plus élevées chez les donneurs de sang porteurs d’hépatite C avec cryoglobulines. La détection et caractérisation des cryoglobulines fournissent une orientation vers l’identification d’une éventuelle maladie sous-jacente.

English title: Research and characterization of cryoglobulinemia in blood donors with antiHCV antibodies in Lubumbashi, Democratic Republic of Congo
Cryoglobulinemia constitutes one of the extra-hepatic forms of severe hepatitis C. To the best of our knowledge, no study has been carried out to date in Lubumbashi on this subject. This study aimed to determine the prevalence and types of cryoglobulins among positive hepatitis C blood donors in Lubumbashi. This was a descriptive, analytical, cross- sectional study carried out from November 2021 to June 2022 at the blood bank of Jason Sendwe Hospital of Lubumbashi. In total, 1901 samples collected from blood donors were analyzed. The detection of cryoglobulins was carried out by the cold precipitation method whereas their characterization was performed by capillary electrophoresis. For the screening of anti-HCV antibodies, we used rapid diagnostic tests (RDT) and biochemical parameters were assessed using the spectrophotometric method. The prevalence of anti-HCV antibodies and cryoglobulins was 4.9% and 46.8% respectively. Types I, II and III cryoglobulins were identified. Disturbances in biochemical parameters were higher in hepatitis C blood donors with cryoglobulins. The detection and characterization of cryoglobulins provide guidance towards the identification of a possible underlying disease.