bluuebunny/crossref_metadata_2025_split huggingface dataset:
Can sleep hygiene interventions affect strength and power outcomes for female athletes?
Authors: Gooderick Julie , Hayes Mark , Maxwell Neil , Clash Russ , Wood Toby , Abbott Will 
Published: February 2024

Abstract

Background: Previous evidence has demonstrated greater sleep to enhance sprint, endurance, and sports-specific skills, however, it is yet to be investigated whether improved sleep indices could enhance strength and power performance. Sleep hygiene (SH) is growing in popularity as a tool to enhance sleep indices amongst athletic cohorts, yet the optimal delivery strategy of sleep hygiene education is yet to be determined.
Aims: The aims of this study were to investigate whether sleep hygiene interventions affect strength and power outcomes, with a secondary aim to assess whether there are any differences between individualised and group-based SH education on sleep indices in female athletes.
Methods: Using a randomised, controlled design with repeated measures, 34 female footballers were split into 3 groups: one receiving both group-based and individualised sleep hygiene, one receiving only group-based SH and a control group receiving no education. Monitoring of sleep and physical performance was carried out at week 1, 4 and 7. Split-plot ANOVAs assessed for differences between groups x weeks, and groups x time.
Results: Individualised sleep hygiene education resulted in significantly improved sleep duration (p =0.005), latency (p=0.006) and efficiency (p=0.004) at week 7 compared to controls, whilst also resulting in significantly improved countermovement jump scores (p=0.001) compared to control.
Conclusions: Participants receiving group-based sleep hygiene education only, demonstrated significantly improved sleep efficiency compared to controls (p=0.032). Jump performance may be affected by sleep factors, and individualised SH may be superior to group-based SH. This provides information to coaches regarding training optimisation and the efficacy of SH education methods.
A framework for selection of high-yielding and drought-tolerant genotypes of barley: Applying yield- based indices and multi-index selection models
Authors: Ghazvini Habibollah , Pour-Aboughadareh Alireza , Jasemi Seyed Shahriyar , Chaichi Mehrdad , Tajali Hamid , Bocianowski Jan 
Published: February 2024

Abstract

Drought stress is one of the major environmental stresses that dramatically reduces agricultural production around the world. Barley (Hordeum vulgare L.) plays an important role in both food and feed security. The objective of this study was to identify the superior drought-tolerant genotypes using grain yield and several yield-based indices of tolerance and susceptibility by applying various multivariate selection models. To achieve this objective, a set of promising new barley genotypes was evaluated in three drought-prone regions of Iran (Mashhad, Karaj, and Hamadan) during two consecutive growing seasons (2019–2020 and 2020–2021). The results of additive main effect and multiplicative interaction (AMMI) analysis showed significant effects for genotypes (G), environments (E), and their interaction (G×E). Based on the AMMI model, G3, G7, G9, and G13 were identified as the four highest-ranked genotypes in terms of grain yield. Based on the Smith-Hazel, factor analysis and genotype-ideotype distance index (FAI), and genotype–ideotype distance index (MGIDI) selection models, genotypes G4 and G13 showed the greatest tolerance to drought stress conditions in the three regions. Moreover, the most significant selection gain was found for the stress tolerance index, yield index, and grain yield under drought stress conditions (Ys). The results of the genotype (G) + genotype × environment (GGE) biplot analysis coincided with those obtained, in which the G4 and G13 genotypes showed specific adaptability in drought environments. In addition, among the environments tested, the Karaj region was selected as an ideal target environment with significant discriminatory power and representative ability. In conclusion, the collective analysis using the AMMI, GGE biplot, and multi-index selection models identified genotypes G4 and G13 as superior genotypes. Consequently, these genotypes may be candidates for commercial introduction.
Comparative Analysis of XAI Techniques on Telecom Churn Prediction Using SHAP and Interpreted ML Partial Dependence
Authors: ÖZKURT Cem 
Published: February 2024

Abstract

This paper conducts a comparative analysis of two prominent Explainable Artificial Intelligence (XAI) techniques, SHAP (SHapley Additive exPlanations) and Interpreted ML Partial Dependence, applied to a Telecom Churn dataset. The objective is to assess and contrast these techniques in enhancing transparency and interpretability of machine learning models, specifically in telecom churn prediction. The study emphasizes the significance of XAI in ensuring trust and comprehension in predictive modeling. The methodology outlines dataset preprocessing and model training steps. Two separate analyses using SHAP and Interpreted ML Partial Dependence are conducted to evaluate their effectiveness in elucidating model decisions and uncovering feature importance. Results, strengths, and limitations of both techniques are discussed, providing valuable insights into interpretability and robustness. The comparative analysis contributes to understanding XAI methods, emphasizing the importance of selecting appropriate techniques based on context and goals in enhancing transparency in telecom churn prediction models.
Energy Efficient 6G performance Improvement based on Service Level Recursive Scheduling routing using Priority cycle Tags (PCT)
Authors: E Sangeetha , J Deny 
Published: February 2024

Abstract
The Sixth Generation (6G) mobile communication system is actively promoted worldwide. One solution for ultra-high-speed communications is to use the ter-ahertz frequency band above 100 GHz. This is due to the availability of wider frequency bands than 5G. Due to the increasing performance of network issues in the transmission path, data may be leaked or injected incorrectly. Therefore, the performance of the routing network is significant for centralized routing, improving data transmission and preventing malicious activity. To overcome the issues, this work proposed the method of Enhance Service Data Transmission (ESDT) using Energy Optimized Network Route Cluster Bandwidth (EONRCB) transmission based on slicing the nearest neighbor and splitting the route in a 6G network. Initially, the traffic routing is checked based on the Transmission Node Support Weight (TNSW). Each node must constantly authenticate access control to fragment the data in packets, and access control is detected based on routing as needed. Service Level Route Count Rollback Node Aggregator (SLR-CRNA) improves the network’s performance by verifying active node exchanges. The sleeper node controller then preserves the node’s response behaviour and sends the data to the current location of the trusted node exchange. Slicing Neighbor Node Path Routing (SN2PR) also establishes connectivity between sources to 1 destination nodes in Edge Networks. Then scheduling the node priority based to enable the network to avoid the traffic in the frequency of the network based on the Priority cycle Tags (PCT) using Recursive Scheduling Time (RST) provides an optimal scheduling policy by iteratively adjusting the duration of tasks until time mismatch is minimized. RTSS can be achieved in 6G wireless networks with minimal changes in planning architecture. Performance evaluations show the effectiveness of the proposed scheme in reducing misalignment delays for random traffic periods. Service Level Route Count Rollback Node Aggregator (SLR-CRNA) is attained to avoid traffic, improve energy efficiency, and schedule the nodes with limited time transmission to assign the route and enhance network lifetime and performance. The proposed 6G-the framework has been implemented in the 6G network Time-based scheduling. It provides high network performance and has been validated by comparing the values with other methods.
An Autonomous Blockchain-Based Workflow Execution Broker for e-Science
Authors: Alimoglu Alper , Ozturan Can 
Published: February 2024

Abstract
Scientific workflows are essential for many applications, enabling the configuration and execution of complex tasks across distributed resources. In this paper, we contribute an Ethereum blockchain-based scientific workflow execution manager, which distributes workflows to run on cluster computing providers that utilize the Slurm workload manager to execute them. We extended our blockchain-based autonomous resource broker called eBlocBroker, which is a DAO-based decentralized coordinator, by providing distributed workflow execution via blockchain. Through various tests, we demonstrate how our eBlockBroker autonomous organization, which is programmed as a smart contract, can manage scientific workflow submission, scheduling, and execution on cluster computing providers. We are motivated because our system has been developed with e-Science in mind where scientific workflows are widely utilized.
Predictive Analysis of Breast Cancer Response to Neoadjuvant Chemotherapy through Plasma Metabolomics
Authors: Yamada Miki , Jinno Hiromitsu , Naruse Saki , Isono Yuka , Maeda Yuka , Sato Ayana , Matsumoto Akiko , Ikeda Tatsuhiko , Sugimoto Masahiro 
Published: February 2024

Abstract

Purpose
Preoperative chemotherapy is a critical component of breast cancer management, yet its effectiveness is not uniform. Moreover, the adverse effects associated with chemotherapy necessitate the identification of a patient subgroup that would derive the maximum benefit from this treatment. This study aimed to establish a method for predicting the response to preoperative chemotherapy in breast cancer patients utilizing metabolomics.
Methods
Plasma samples were obtained from 87 breast cancer patients undergoing preoperative chemotherapy at our facility, collected both prior to the commencement of the treatment and before the second treatment cycle. Metabolite analysis was conducted using capillary electrophoresis-mass spectrometry (CE-MS) and liquid chromatography-mass spectrometry (LC-MS). We performed comparative profiling of metabolite concentrations by assessing the metabolite profiles of patients who achieved a pathological complete response (pCR) against those who did not, both in initial and subsequent treatment cycles.
Results
Significant variances were observed in the metabolite profiles between pCR and non-pCR cases, both at the onset of preoperative chemotherapy and before the second cycle. Noteworthy distinctions were also evident between the metabolite profiles from the initial and the second preoperative chemotherapy courses. Furthermore, metabolite profiles exhibited variations associated with intrinsic subtypes at all assessed time points.
Conclusion
The application of plasma metabolomics, utilizing CE-MS and LC-MS, has proven to be an effective approach for predicting the efficacy of preoperative chemotherapy in breast cancer.
Kemampuan Masyarakat Beradaptasi Spasial dan Mengatasi Ancaman Bencana Alam
Authors: Lestarianto Aris Nur , Bawole Paulus , Nainggolan Freddy Marihot Rotua 
Published: February 2024

Title: Community Ability to Adapt Spatially and Overcome the Threat of Natural Disasters; Case Study: Pacarejo Village, Gunung Kidul Regency, and Kepuharjo Village, Sleman Regency, Special Region of Yogyakarta
Disasters are part of natural and non-natural phenomena that often occur in communities in certain areas. The Special Region of Yogyakarta, especially in the Gunung Kidul and Sleman Regencies, often experiences natural disasters. The focus of natural disasters as the object of research is the Pacarejo Village, Gunung Kidul Regency, and Kepuharjo Village in the Sleman Regency area. These two areas were chosen because natural disasters have struck several times, and the people are indicated to be trying hard to adapt to their environment and overcome the problems that occur. Quantitative research methods combining qualitative methods for data processing will be applied in this research. A total participatory strategy will be implemented to collect primary data directly from the community. Secondary data from government and private institutions and several theories and shared experiences with experts will be used to support the analysis. The results of this research show that Kepuharjo Subdistrict has a community capacity spatially to adapt and overcome disaster threats that is better than Pacarejo Subdistrict, with the aspects of the two regions that are most dominant in forming community resilience being the cooperation of residents along with assistance from other areas.
Prioritization of watershed using morphometric parameters through geospatial and PCA technique for Noyyal River Basin, Tamil Nadu, India
Authors: K. Govarthanambikai , R. Sathyanarayan Sridhar 
Published: February 2024

Abstract

Watershed management is essential for ensuring the availability of water for sustainable development. In the current study, the geospatial technique is utilized to prioritize the sub-watershed of the Noyyal River Basin to control soil erosion and propose water conservation measures. The study describes the importance of using a digital elevation model to evaluate the drainage pattern and to extract relevant parameters. The river basin was categorized into 17 sub-watersheds, designated as SW1–SW17. The stream order of watershed ranges from first to fifth order and possesses a dendritic drainage pattern. Thirteen fundamental morphometric parameters classified as linear, areal, and relief aspects were considered for the Noyyal River Basin. Principal component analysis (PCA) was performed in the current study for categorization and the morphometric parameters were correlated. PCA analysis is a more appropriate, well-known, commonly used method for having versatility in selecting more significant parameters (correlated parameters) that are responsible for watershed prioritization. The sub-watershed with the lowest compound value is ranked first in priority. It reveals that sub-watershed SW8 has a high priority while low priority is given to sub-watershed SW17. According to the results, more water and soil-conserving measures are suggested in the respective sub-watersheds.
A machine learning approach for predicting and localizing the failure and damage point in sewer networks due to pipe properties
Authors: Goodarzi Mohammad Reza , Vazirian Majid 
Published: February 2024

Abstract

As a basic infrastructure, sewers play an important role in the innards of every city and town to remove unsanitary water from all kinds of livable and functional spaces. Sewer pipe failures (SPFs) are unwanted and unsafe in many ways, as the disturbance that they cause is undeniable. Sewer pipes meet manholes frequently, unlike water distribution systems, as in sewers, water movement is due to gravity and manholes are needed in every intersection as well as through pipe length. Many studies have been focused on sewer pipe failures and so on, but few investigations have been done to show the effect of manhole proximity on pipe failure. Predicting and localizing the sewer pipe failures is affected by different parameters of sewer pipe properties, such as material, age, slope, and depth of the sewer pipes. This study investigates the applicability of a support vector machine (SVM), a supervised machine learning (ML) algorithm, for the development of a prediction model to predict sewer pipe failures and the effects of manhole proximity. The results show that SVM with an accuracy of 84% can properly approximate the manhole effects on sewer pipe failures.
Analisis Malware Android Menggunakan Metode Reverse Engineering
Authors: Saputro Bagus Aji , Alfitra Lisan Iqbal , Oktaviaji Raykhan Bima 
Published: February 2024

Beberapa ancaman yang ada pada system operasi pada perangkat lunak android yang mengancam pengguna dari berbagai aspek yang dapat merusak bagian-bagian pada system operasi yang berhubungan dengan perangkat lunak jahat (malware) dengan menggunakan user untuk menggunakan system operasi android target untuk melakukan dengan serangan malware. Dengan melakukan perubahan kode aplikasi atau paket paket dengan memasukan kode yang berbahaya, dan mengemas ulang kode tersebut dengan script yang seperti yang asli dan mengupload aplikasi yang dibuat ke situs internet ataupun Play Store Android. Penelitian ini bertujuan untuk melihat kode pada sebuah aplikasi yang diduga tersisipi malware dengan metode reverse engineering, agar setiap pengguna untuk dapat sadar untuk dampak apa yang terjadi jika malware yang ada pada aplikasi yang ada di android dengan mengetahui isi code pada percobaan malware dengan menggunakan Analisa static. Android, sebagai system operasi berbasis Java yang jalan pada kernel 2.6 Linux. Aplikasi Sistem Android dikembangkan dengan Java mudah menyelelaraskan pada platform baru. Sistem Android dapat digambarkan seperti jembatan antara smartphone dan user, sehingga user dapat menggunakan smartphone dan bisa menjalankan aplikasi yang ada pada smartphone tersebut. Android merupakan sebuah sistem operasi dengan dasar linux pada smartphone yang meliputi sistem operasi, middle ware dan aplikasi yang terdapat didalamnya
Rancang Bangun Pintu Otomatis Berbasis Arduino RFID dan Voice Recognition Arduino
Authors: Akrimni Ilmi Dwi , Akbi Denar Regata , Sari Zamah 
Published: February 2024

Pintu rumah pada umumnya terdiri dari kunci dan sadel kunci membukanya, seiring jalan perkembangan teknologi terdapat pintu manual menjadi sistem otomatis. Sistem pintu otomatis dapat memudahkan dalam sistem penguncian yang mana tidak terlalu banyak kunci yang harus dibawa, masih banyak masyarakat kurang mengetahui mengenai pintu otomatis yang dirancang dengan menggunakan kendali dan sistem khusus. Oleh karena itu penelitian ini bertujuan untuk memberikan kemudahan kepada masyarakat dalam penggunaan teknologi pada sistem ini dan terhadap penggunaan pintu otomatis menggunakan RFID dan Voice Arduino, serta cara mengimplementasian pintu otomatis tersebut. Metode Penelitian yang digunakan pada penelitian ini berupa rancang bangun yang dilakukan dengan beberapa tahapan yang diawali dengan mulai, riset masalah, studi literatur, perencanaan dan perancangan sistem, pengujian alat, sampai dengan pembuatan laporan. Perancangan pintu otomatis berbasis Arduino Rfid dan Voice Recognition sistem canggih yang memanfaatkan teknologi RFID serta pengenalan suara untuk mengontrol akses masuk ke suatu area, skema ini arduino berperan sebagai otak sistem yang menerima informasi dari pembacaan Rfid untuk mengindetifikasi kartu yang valid, dan juga mampu memproses perintah suara yang terverifikasi melalui modul pengenalan suara. Yang mana hal tersebut memungkinkan pintu untuk terbuka secara otomatis ketika kartu yang terdaftar di deteksi atau perintah suara yang benar di ucapkan. Penelitian ini memiliki fokus utama dalam memberikan dan membantu untuk memudahkan masyarakat dengan kode suara dan kartu yang menjadi objeknya.
THE RELEVANCE OF ISLAMIC PRINCIPLES IN ENVIRONMENTAL MANAGEMENT IN ACEH
Authors: Natsir Muhammad , Fuadi  , Darmawan  , Ulya Zaki , Sahara Siti 
Published: February 2024

Aceh has the power to modify its laws in line with Islamic law in compliance with the appropriate laws and regulations. The purpose of this essay is to study the environmental law concepts that apply to Environmental Managers under Qanun No. 2 of 2011. One of the principles is "Islamic," however the Qanun's content disregards this ideal, which is a concern. The goal of this study is to recreate the Qanun on environmental management in Aceh and establish a method of dispute resolution based on Islamic principles for those who commit environmental offenses. The methodology adopted is a normative juridical one based on rules and laws. In order to rebuild Qanun, Islamic law's requirements must be taken into consideration. This includes concretizing Islamic values in Aceh's environmental laws as a policy by using the lex specialist principle within the framework of the Unitary State of the Republic of Indonesia. Due to the fact that Indonesian criminal law does not recognize peaceful conflict settlement, this study is obviously innovative.
Abstrak: Berdasarkan peraturan perundang-undangan yang berlaku, Aceh memiliki wewenang untuk mengatur hukumnya sesuai dengan syariat Islam. Artikel ini hendak menelaah asas hukum lingkungan yang berlaku dalam Qanun No. 2 Tahun 2011 tentang Pengelola Lingkungan Hidup. Adapun salah satu asas adalah “keislaman”, namun permasalahan yang ditemukan yaitu substansi Qanun mengabaikan asas tersebut. Tujuan penelitian ini adalah untuk mencari bentuk penyelesaian sengketa sesuai asas keislaman dalam pengaturan hukum bagi pelaku tindak pidana lingkungan hidup sebagai rekonstruksi Qanun pengelolaan lingkungan hidup di Aceh. Metode yang digunakan adalah yuridi normatif dengan pendekatan peraturan perundang-undangan. Hasil temuan penelitian asas keislaman belum secara konkret diuraikan sebagai satu substansi utama Qanun tersebut. Qanun membutuhkan rekonstruksi dengan memperhatikan ketentuan syariat Islam diantaranya konkritisasi asas keislaman dalam regulasi lingkungan hidup di Aceh sebagai suatu kebijakan dengan menerapkan asas lex spesialis dalam bingkai Negara Kesatuan Republik Indonesia. Penelitian ini memiliki kebaruan secara jelas karena penyelesaian sengketa dengan perdamaian tidak dikenal dalam sistem hukum pidana Indonesia.
Kata Kunci: Relevansi, Asas Keislaman, Pengelolaan Lingkungan Hidup, Aceh
CONSIDERING DEBT IN THE PERSPECTIVE OF MAQASID AL-SHARIAH: MASLAHAH VERSUS MAFSADAH
Authors: Fuad Zaki , Furqani Hafas , Zakaria Roza Hazli , Idul Adha Syamsul 
Published: February 2024

Debt in Islamic tradition is accepted as an instrument to fulfill necessities for the needy. Islam has made it explicit that one of the trial for man is poverty or having inadequate resources to pursue his living. Therefore, debt is considered as an essential instrument that should not be dismissed for various reasons. Instead of viewing it negatively or as something immoral, Islam comes to regulate the practice by envisaging some rules and ethics and highlighting the appropriate measurement in the light of its impact. This article attempts to explore the Islamic perspective on debt by using maqāṣid al-Shari’ah (objectives of Shariah). In this perspective, debt will be analyzed based on the impact on maslahah (benefit) and mafsadah (harm) in fulfilling the necessities of life and improving welfare. This study uses library research by systematically review the literature from the references for a comprehensive analysis of the discourse. The classification of objective and impact of having debt, proposed in this study, can be a framework of analysis for the justification of debt.
Abstrak: Hutang dalam tradisi Islam dianggap sebagai sesuatu yang lumrah dalam kehidupan manusia. Hutang tidak dapat dihindari dalam kehidupan manusia karena berbagai alasan. Oleh karena itu, Islam tidak melarang atau memandang hutang secara negatif sebagai sesuatu yang tidak bermoral, Islam justru mengatur praktik tersebut dengan menerapkan beberapa aturan dan etika serta pengukuran yang tepat dalam kaitannya dengan dampak yang ditimbulkan. Artikel ini mencoba mengeksplorasi perspektif Islam tentang utang dengan menggunakan maqāṣid al-Shari'ah (tujuan Syariah). Dalam perspektif ini, hutang akan dianalisis berdasarkan dampaknya terhadap maslahah (manfaat) dan mafsadah (keburukan) dalam pemenuhan kebutuhan hidup dan peningkatan kesejahteraan. Penelitian ini menggunakan studi kepustakaan dengan cara mengkaji literatur secara sistematis dari referensi untuk dilakukan analisis wacana secara komprehensif. Klasifikasi tujuan dan dampak memiliki utang yang diusulkan dalam penelitian ini dapat menjadi kerangka analisis justifikasi utang.
Kata Kunci: Hutang, Maqasid al-Syariah, Maslahah, Mafsadah