bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pungutan liar yang dihadapi oleh angkutan truk: Studi kasus angkutan truk dengan trayek serang ke Jabodetabek
Authors: Atmadji Eko , Fajar Muhammad Brilian 
Published: February 2024

Purpose – To analyze the phenomenon of illegal payment on truck drivers of delivery business.Method – Qualitative phenomenological method to understand the phenomenon of truck drivers choosing to use non-toll roads rather than toll roads to deliver commodity from expedition company clients. In-depth interviews were conducted with truck drivers, expedition company officials, and illegal levy collectors. To get a feel for the incidence of illegal levies on roads, this research used a participatory method.Findings – Truck drivers choose to use non-toll roads because travel costs are cheaper than if they drive through toll roads, therefore truck drivers can take larger transportation allowance home provided by their company. However, truck drivers do not consider about the criminal risks from the extorters, which could happen to them in longer journey of delivery. Another finding is that delivery of goods is often late due to the truck driver's mistakes.Implication – The travel allowance that the company has given to truck drivers has been too large, which could result in the delivery duration of goods being longer.Originality – This study contributes to qualitative research on extortion using participatory methods.
AbstrakTujuan – Menganalisis fenomena pungutan liar pengemudi truk di bisnis pengiriman barang.Metode – Metode kualitatif fenomenologi untuk memahami fenomena pemilihan pengemudi truk yang lebih memilih untuk menggunakan jalan non tol dibanding jalan tol untuk mengirim barang dari klien perusahaan ekspedisi. Wawancara mendalam dengan pengemudi truk, petinggi perusahaan ekspedisi, dan pelaku pemungut pungutan liar dilakukan. Untuk mendapatkan nuansa kejadian pungutan liar di jalan raya, penelitian ini menggunakan metode partisipatif. Temuan – Pemilihan pengemudi truk untuk menggunakan jalan non tol karena pengeluaran ongkos perjalanan lebih murah dibanding jika menggunakan jalan tol sehingga pengemudi truk dapat membawa pulang sisa uang transport dari perusahaan yang lebih besar. Namun demikian, pengemudi truk tidak memikirkan risiko kriminal yang bisa saja menimpa mereka yang bisa mengakibatkan waktu pengiriman menjadi semakin lama. Temuan lain adalah faktor pengiriman barang yang sering terlambat disebabkan oleh kesalahan dari pengemudi truk ini.Implikasi – Uang perjalanan yang diberikan perusahaan ke pengemudi truk selama ini terlalu besar yang bisa menyebabkan justru durasi pengiriman barang menjadi lebih lama.Orisinalitas – Studi ini berkontribusi pada penelitian kualitatif pungutan liar dengan menggunakan metode partisipatif.
Mapping of potential sea-cage farming sites throughspatial modelling: Preliminary operative suggestionsto aid sustainable mariculture expansion in India
Authors: Divu D. , Mojjada Suresh Kumar , Muktha M. , Abdul Azeez P. , Mayur S. Tade  , Aarsha Subramanian  , Jai Shree  , C. Anulekshmi  , P. P. Suresh Babu  , A. Anuraj  , Prathibha Rohit  , Shubhadeep Ghosh  , Sekar Megarajan  , Ranjan Ritesh , N. Rajesh  , Ambarish P. Gop  , P. S. Swathi Lekshmi  , A. K. Abdul Nazar  , B. Johnson  , G. Tamilmani  , K. K. Anikuttan  , C. Kalidas  , Gyanaranjan Dash  , Rajesh Kumar Pradhan  , K. Mohammed Koya  , Boby Ignatius  , V. V. R. Suresh  , A. Gopalakrishnan  
Published: February 2024

Sea cage farming in marine open waters is considered as the most viable technique in Indianmariculture to enhance production. Owing to the support of the government in researchand development, and policy initiatives, marine cage farming is progressing steadily in thecountry. Technological guidance from research institutions and financing under the ambitious“Pradhan Mantri Matsya Sampada Yojana (PMMSY)” and blue growth mission objectives haveinspired stakeholders and fisheries administrators in maritime states to explore open seacage culture. Site selection is a key parameter affecting the success of cage culture systemsand, technically analysed geo-referenced demarcation of spatial information is necessaryfor minimising the risks. Thus, in the light of rising demand for spatial allocation of coastalareas, the present study identifies and aggregates locations within 3 km of the coastline,that have the potential for sea cage farming operations in the country. The site suitabilitywas examined based on optimal standards required for the prospective candidate speciesselected for mariculture in India. The locations were vectorised in a GIS platform, and thepotential areas available for sea cage installations were demarcated. An optimised sitesuitability schema was developed for the spatial demarcation of potential site selection.The preliminary results identified 134 sites covering a total area of 46,823.2 ha suitablefor marine cage culture along Indian territorial waters. Among the coastal states, the topthree states holding the maximum area suitable for sea cage farming are Andhra Pradesh(11,792 ha), Gujarat (11,572.2 ha) and Tamil Nadu (7,673 ha). It is envisaged that spatialsuitability demarcation even on this pilot scale will accelerate the expansion of sea cagefarming in the country.
Keywords:GIS Mapping, Mariculture, PMMSY, Sea cage farming, Site suitability, Spatial planning
Forecasting Peak Hours for Energy Consumption in Regional Power Systems
Authors: Saitov S. R. , Chichirova N. D. , Filimonova A. A. , Karnitsky N. B. 
Published: February 2024

. Electrical power is the second most important commodity in electrical energy markets. For consumers, the charged amount of “generator” power is determined as the average value of hourly consumption amounts on working days during peak hours in the region. The cost of power in some regions can reach 40 % of the final tariff, so reducing the load during peak hours by 10 % can lead to a decrease in monthly consumer payments by 3 %. However, such a way of saving money is not available to the consumer since the commercial operator of the wholesale market of electricity and capacity publishes the peak hours of the regions after the 10th day of the next month, when this information is no longer relevant. Timely forecasting of peak hours will make it possible, on the one hand, to reduce consumer costs for payments for electric power, and on the other hand, to smooth out the daily schedule of electric load of the power system, thereby optimizing the operation of generating equipment of stations and networks of the system operator. The article presents a study of the effectiveness of machine learning methods in the context of forecasting the peak hour of a regional power system. The study concerns the period from November 2011 to October 2023, covers 76 regions of the Russian Federation, including subjects of price (1st and 2nd) and non-price zones and includes 10 machine-learning methods. The results of the study showed that statistically, the K-nearest neighbors clustering method turns out to be the most accurate, although not universal. Support Vector Classifier and Decision Tree Classifier have demonstrated high efficiency (in terms of accuracy and speed). The study also refuted the assumption that the closest data in terms of time series has the greatest value in predicting peak hours.
Modeling of Control System for Tracked Mobile Robot Taking Into Account Kinematic and Dynamic Parameters
Authors: Pauliukavets S. A. , Velchenko A. A. , Radkevich A. A. , Tschaplygin D. Yu. 
Published: February 2024

The paper examines the problem of constructing a motion control system for autonomous mobile tracked robots in an informal external environment. Based on the proposed mathematical model of the control system for a tracked mobile robot, which takes into account kinematic and dynamic parameters, simulation modeling of a tracked mobile robot was carried out in the dynamic modeling environments of technical systems MATLAB Simulink and SimInTech, which made it possible to control the coordinates of a tracked mobile robot along a predetermined trajectory with a certain accuracy. To increase the stability of the mobile robot motion control system, a PID controller of the armature current and electromagnetic torque was introduced into it. During the simulation study, graphical dependences on time were obtained: supply voltage; rotation angle of the robot body; track speeds; motor armature current; electromagnetic torque of engines; armature current of motors with PID controller; the path traveled by the caterpillars; electromagnetic torque of motors with a PID controller, and also the center of mass of the robot was set when setting a trajectory with a radius of 10 m for 6.2 s. Models were built in the MATLAB Simulink software package: general simulation, kinematic simulation and dynamic simulation of a tracked mobile robot, simulation subsystem of the electric drive control unit. In the SimInTech software environment, a simulation model of the dynamic part of the right electric drive of a tracked mobile robot was obtained. A comparative analysis of the graphical dependencies of the angular velocity of the roller and armature current of the motor of a tracked mobile robot, obtained in the MATLAB Simulink and SimInTech packages, was carried out, which revealed a number of advantages and disadvantages when testing the operation of the control system of a tracked mobile robot in an unformalized external environment.
IT diagnostics of Parkinson's disease based on voice markers and decreased motor activity
Authors: Vishniakou U. V. , Yiwei X. 
Published: February 2024

The objectives of the article to propose the method for complex recognition of Parkinson's disease using machine learning, based on markers of voice analysis and changes in patient movements on known data sets. The time-frequency function, (the wavelet function) and the Meyer kepstral coefficient function are used. The KNN algorithm and the algorithm of a two-layer neural network were used for training and testing on publicly available datasets on speech changes and motion retardation in Parkinson's disease. A Bayesian optimizer was also used to improve the hyperparameters of the KNN algorithm. The constructed models achieved an accuracy of 94.7 % and 96.2 % on a data set on speech changes in patients with Parkinson's disease and a data set on slowing down the movement of patients, respectively. The recognition results are close to the world level. The proposed technique is intended for use in the subsystem of IT diagnostics of nervous diseases.
A Supercharged Molecular Motor Operating by Constitutional Alteration and Hydrogen Bonding
Authors: Dube Henry , Biswas Pronay , Ozcelik Ani , Hartinger Martina , Hampel Frank 
Published: February 2024

Abstract
Molecular rotary motors undergo directional motions upon input of external energy and represent archetypical molecular machines. Light driven variants stand out as particularly easy to fuel continuously and potentially carrying a very high energy content during their action. So far, such motors function via light induced bond rotations where the directionality is dictated by a fixed source of asymmetry within the structure. During the operation cycle there is no further structural change happening except for the rotation itself. In this work we disclose a hitherto unknown and highly effective mechanism for light driven motor rotation, which makes use of constitutional alteration of the structure. This in turn allows the directionality to be controlled actively by an intramolecular hydrogen bond instead of sterics. Associated with this unusual mechanism is a particularly high energy content that the motor retains from the incident light, which is of great importance for application of molecular motors working under external load. With these findings unique possibilities emerge for the design and use of molecular motors with unprecedented modes of action and power.
Design and Optimization of Thermoelectric Air-cooling Systems for Vehicles
Authors: Seo Saerom , Son Kwonsang , Han Seungwoo 
Published: February 2024

Abstract

Heating, ventilation, and air-conditioning (HVAC) systems are highly efficient and reliable but can negatively impact the environment. Environmentally friendly systems that could replace existing HVAC systems, such as thermoelectric cooling and heating systems, have been studied recently. Herein, an air-cooling system using thermoelectric modules (TEMs) was designed, manufactured, and evaluated in terms of its cooling performance. The optimal TEM was identified by analyzing QC–△T and V–I performance plots. The designed thermoelectric air-cooling (TEAC) system was composed of TEMs, heat sinks, and fans. Two versions were designed and the aim was to reduce the height of the system without compromising the cooling performance. The systems were tested in an insulated chamber having an inner volume of 250 × 250 × 250 mm3. After setting the temperature inside the chamber to 45°C, the time required for the system to reduce the temperature to 26°C was measured. Then, the developed system was mounted in a real car and the temperature decrease was recorded.
Anaemia and iron deficiency in India: a venous blood-based survey of adolescents, adults, and the elderly in eight states
Authors: Kurpad Anura , Laxmaiah A , Chandak Giriraj , Meshram Indrapal , Raman Rajiva , Sengupta Shantanu , Yajnik Chittaranjan , Sachdev Harshpal , Ghosh Santu 
Published: February 2024

Abstract

Background Capillary-blood based surveys suggest that anaemia is rampant in India. However, these estimates may be inflated as capillary blood haemoglobin (Hb) is an underestimate of its true value. The main cause of anaemia is thought to be iron deficiency (ID), but there are no large-scale surveys to confirm this.Methods A community-based (urban, slum and rural) cross-sectional survey was conducted in eight states across India, to estimate anaemia and ID prevalence from venous blood Hb and plasma ferritin (corrected for inflammation), in adolescents, adults, and elderly of both sexes.Results Anaemia prevalence was 44%, 41% and 45% in adolescent girls, adult and elderly women respectively compared to 24%, 21% and 37% in adolescent boys, adult, and elderly men respectively. The overall prevalence varied widely by state, ranging from 12% in Meghalaya to 70% in Assam. Mild anaemia was predominant, at about 50% of overall anaemia prevalence. ID-associated anaemia (IDA) was less than a third of the overall anaemia prevalence, and varied among age and sex groups, only approaching 45% in adolescent girls. IDA was much lower in mild anaemia. Thus, the major proportion of anaemia in all groups was associated with ‘unknown causes’.Conclusions Anaemia prevalence, when measured by venous blood Hb, was substantially lower than earlier capillary blood-based estimates and was predominantly mild. The prevalence of ID associated anaemia was also much lower than anticipated. The major associated aetiology was that of unknown causes, which needs further investigation. These results have policy implications for anaemia prevention and correction.
Secretory leucocyte protease inhibitor regulates bone metabolism and inflammation in experimental mouse periodontitis
Authors: Terao Yutaka , Sasagawa Karin , Domon Hisanori , Hirayama Satoru , Maekawa Tomoki , Isono Toshihito , Tabeta Koichi 
Published: February 2024

Abstract
Secretory leukocyte protease inhibitor (SLPI), mainly secreted by epithelial cells, is abundant in saliva and other mucus secretions. In healthy periodontal tissues, SLPI maintains homeostasis by modulating immune responses and inhibiting tissue destruction through its neutrophil elastase activity. Recently, decreased SLPI levels have been found in severe periodontitis when compared to healthy individuals. In this study, we hypothesized that intragingival administration of SLPI would inhibit periodontal tissue destruction caused by periodontitis. SLPI administration significantly reduced neutrophil elastase activity in periodontal tissue and alleviated alveolar bone loss in mice. Real-time PCR analysis revealed that SLPI administration downregulated the transcription of proinflammatory cytokines and osteoclast-related factors in gingival tissue. In vitro, treatment of bone marrow macrophages with SLPI resulted in the downregulation of osteoclast differentiation. SLPI also inhibited osteoclast differentiation and promoted osteoblast mineralization in vitro. These findings suggest that SLPI prevents periodontal tissue destruction by affecting inflammation and bone metabolism.
Solving integer linear fractional semivectorial bilevel programs
Authors: FALI Fatima , MOULAÏ Mustapha 
Published: February 2024

Abstract
This paper proposes an exact method to solve an integer linear fractional bilevel problem with multiple objectives at the lower level. The proposed algorithm generates the integer optimal bilevel solution, begining by solving the integer linear fractional program of the upper level. Then, the integer optimal solution obtained is tested for optimality of the main problem without going through all the efficient solutions of the lower level problem. If no optimal bilevel solution is obtained, an efficient cut is added to the upper level problem and the next integer optimal solution is determined. The proposed method is based on a classical branch and bound technique for integer decision variables and efficient cuts, which allows may to avoid a large number of non bilevel solutions, thus, shorten the search domain. A numerical example is given and computational experiments reveal satisfying results.
Mathematics Subject Classi cation (2020) 90C29 90C10 90C26 90C57
Preclinical Setup Standardization of the Novel HugoTM Robotic Platform for Upper Gastrointestinal Surgery
Authors: Bianco Francesco , Pangrazio Marco Di , Toti Francesco , Aguiluz Gabriela , Pozza Gioia , Pinto Federico , Martinino Alessandro , Hassan Chandra , Masrur Mario , Chen Liaohai Leo , Hoyert Kelly , Ryan Laura , Giulianotti Pier Cristoforo 
Published: February 2024

Abstract

Recent years have seen new robotic platforms coming to the market, among these, the Hugo™ robotic-assisted surgery by Medtronic is one of the latest. The most significant innovation brought by Hugo™ is the new modular design based on four independent arm-carts, allowing for multiple docking options and port placement configurations. This variability can be challenging at the beginning of the experience and therefore, the development of standardized guides of application has the potential to accelerate the learning curve, facilitate adoption, and ultimately improve surgical efficiency. We conducted a preclinical study at the University of Illinois at Chicago, where 22 human cadaver labs were used to perform upper gastrointestinal (UGI) surgeries to test different potential system configurations and to investigate the systems safety and effectiveness. We successfully developed a reproducible arm-carts setups and port placement configurations for UGI procedures, without recording any major collisions, technical issues, or conversions. This demonstrates that Hugo™ is safe and effective in performing UGI surgery. The data obtained from this preclinical study has allowed to standardize the approach to the abdominal upper quadrants with Hugo™. Although it’s a preclinical work, the initial clinical experiences that have been published so far are confirming our results.
Implementing learning into practice from continuous professional development activities: A scoping review of health professionals’ views and experiences
Authors: Al-Omary Heba , Soltani Abderrezzaq , Stewart Derek , Nazar Zachariah 
Published: February 2024

Abstract

Purpose
Continuing professional development (CPD) is an approach for health professionals to preserve and expand their knowledge, skills, and performance, and can contribute to improving delivery of care. However, evidence indicates that simply delivering CPD activities to health professionals does not lead to a change in practice.
This review aimed to collate, summarize, and categorize the literature that reported the views and experiences of health professionals’ on implementing into practice their learning from CPD activities.
Methods
This review was guided by the Joanna Briggs Institute Reviewers’ Manual methodology for scoping reviews. Three databases, PubMed, Embase and Cumulative Index to Nursing and Allied Health Literature (CINAHL), were systematically searched in February 2023 for articles published since inception. Two independent reviewers screened the articles against the inclusion criteria, and completed the data extraction. Data was summarized quantitatively and the findings relating to views and experiences were categorized into challenges and facilitators.
Results
Thirteen articles were included. Implementation of learning was not the primary focus in the majority of studies. Studies were published between 2008-2022; the majority were conducted in North America and nurses were the most common stakeholder group among HCPs. Five studies adopted qualitative methods, four quantitative studies, and four mixed-methods studies. The reported barriers of implementation included lack of time and human resource; the facilitators included the nature of the training, course content and opportunity for communal learning.
Conclusion
This review highlights a gap in the literature. Available studies indicate some barriers for health professionals to implement their learning from CPD activities into their practice. Further studies, underpinned with appropriate theory and including all relavent stakeholders are required to investigate strategies that may facilitate the integration of learning from CPD into routine practice.
Development of a Prognostic Nomogram for Cancer-Specific Survival in Hepatoid Carcinoma: Insights from a Comprehensive SEER-Based Population Analysis
Authors: Wang# Qing-Zhe , Zhou Yi-Xin , Mu Xiao-Li , Wang Jia-Ling , Zhang Shuang , Chen Ye 
Published: February 2024

Abstract
Background
Hepatoid adenocarcinoma (HAC) is a poorly differentiated extrahepatic tumor that can produce alpha-fetoprotein (AFP). The prognostic factors of HAC have not been fully stated in the literature. Therefore, we present a novel nomogram to predict the cancer-specific survival (CSS) of patients with HAC.
Methods
In total, 265 cases with HAC were extracted from the Surveillance, Epidemiology, and End Results (SEER) database from 2004–2015. A prognostic nomogram was produced using the discovered risk factors and a Cox proportional hazard regression model. The nomogram's predictive ability was assessed by utilizing the concordance index (c-index), calibration curve, and receiver operating characteristic (ROC).
Results
Multivariate Cox regression showed that metastasis at the liver, surgery, and chemotherapy were independently correlated with CSS. A nomogram was developed using these factors, with a c-index of 0.71 (95% CI 0.71–0.96). Furthermore, calibration curves demonstrated concordance between the predicted survival probability from the nomogram and the observed survival probability. The areas under the curve (AUC) for 1-year, 3-year, and 5-year survival were 0.80, 0.82, and 0.88, respectively.
Conclusion
Our study successfully formulated a prognostic nomogram that offers promising predictions for the 1-, 3-, and 5-year Cancer-Specific Survival (CSS) of patients with HAC. This nomogram holds potential for practical use in guiding treatment decisions and designing clinical trials.