bluuebunny/crossref_metadata_2025 huggingface dataset:
Efficient Maximal Frequent Group Enumeration in Temporal Bipartite Graphs
Authors: Wu Yanping , Sun Renjie , Wang Xiaoyang , Wen Dong , Zhang Ying , Qin Lu , Lin Xuemin
Published: August 2024

Cohesive subgraph mining is a fundamental problem in bipartite graph analysis. In reality, relationships between two types of entities often occur at some specific timestamps, which can be modeled as a temporal bipartite graph. However, the temporal information is widely neglected by previous studies. Moreover, directly extending the existing models may fail to find some critical groups in temporal bipartite graphs, which appear in a unilateral (i.e., one-layer) form. To fill the gap, in this paper, we propose a novel model, called maximalλ-frequency group (MFG). Given a temporal bipartite graph𝒢=(U, V, ℰ), a vertex setVS⊆Vis an MFG ifi) there are no less thanλtimestamps, at each of whichVScan form a (τU, τV)-biclique with some vertices inUat the corresponding snapshot, andii) it is maximal. To solve the problem, a filter-and-verification (FilterV) method is proposed based on the Bron-Kerbosch framework, incorporating novel filtering techniques to reduce the search space and array-based strategy to accelerate the frequency and maximality verification. Nevertheless, the cost of frequency verification in each valid candidate set computation and maximality check could limit the scalability of FilterV to larger graphs. Therefore, we further develop a novel verification-free (VFree) approach by leveraging the advanced dynamic counting structure proposed. Theoretically, we prove that VFree can reduce the cost of each valid candidate set computation in FilterV by a factor ofO(|V|). Furthermore, VFree can avoid the explicit maximality verification because of the developed search paradigm. Finally, comprehensive experiments on 15 real-world graphs are conducted to demonstrate the efficiency and effectiveness of the proposed techniques and model.
Two Birds With One Stone: Designing a Hybrid Cloud Storage Engine for HTAP
Authors: Schmidt Tobias , Durner Dominik , Leis Viktor , Neumann Thomas
Published: August 2024

Businesses are increasingly demanding real-time analytics on up-to-date data. However, current solutions fail to efficiently combine transactional and analytical processing in a single system. Instead, they rely on extract-transform-load pipelines to transfer transactional data to analytical systems, which introduces a significant delay in the time-to-insight. In this paper, we address this need by proposing a new storage engine design for the cloud, called
Colibri
, that enables hybrid transactional and analytical processing beyond main memory. Colibri features a hybrid column-row store optimized for both workloads, leveraging emerging hardware trends. It effectively separates hot and cold data to accommodate diverse access patterns and storage devices. Our extensive experiments showcase up to 10x performance improvements for processing hybrid workloads on solid-state drives and cloud object stores.
Efficient Betweenness Centrality Computation over Large Heterogeneous Information Networks
Authors: Wang Xinrui , Wang Yiran , Lin Xuemin , Yu Jeffrey Xu , Gao Hong , Cheng Xiuzhen , Yu Dongxiao
Published: August 2024

Betweenness centrality (BC), a classic measure which quantifies the importance of a vertex to act as a communication "bridge" between other vertices in the network, is widely used in many practical applications. With the advent of large heterogeneous information networks (HINs) which contain multiple types of vertices and edges like movie or bibliographic networks, it is essential to study BC computation on HINs. However, existing works about BC mainly focus on homogeneous networks. In this paper, we are the first to study a specific type of vertices' BC on HINs, e.g., find which vertices with typeAare important bridges to the communication between other vertices also with typeA?We advocate a meta path-based BC framework on HINs and formalize both coarse-grained and fine-grained BC (cBC and fBC) measures under the framework. We propose a generalized basic algorithm which can apply to computing not only cBC and fBC but also their variants in more complex cases. We develop several optimization strategies to speed up cBC or fBC computation by network compression and breadth-first search directed acyclic graph (BFS DAG) sharing. Experiments on several real-world HINs show the significance of cBC and fBC, and the effectiveness of our proposed optimization strategies.
DynaHB: A Communication-Avoiding Asynchronous Distributed Framework with Hybrid Batches for Dynamic GNN Training
Authors: Song Zhen , Gu Yu , Sun Qing , Li Tianyi , Zhang Yanfeng , Li Yushuai , Jensen Christian S. , Yu Ge
Published: August 2024

Dynamic Graph Neural Networks (DGNNs) have demonstrated exceptional performance at dynamic-graph analysis tasks. However, the costs exceed those incurred by other learning tasks, to the point where deployment on large-scale dynamic graphs is infeasible. Existing distributed frameworks that facilitate DGNN training are in their early stages and experience challenges such as communication bottlenecks, imbalanced workloads, and GPU memory overflow.

We introduce DynaHB, a distributed framework for DGNN training using so-called Hybrid Batches. DynaHB reduces communication by means of vertex caching, and it ensures even data and workload distribution by means of load-aware vertex partitioning. DyanHB also features a novel hybrid-batch training mode that combines vertex-batch and snapshot-batch techniques, thereby reducing training time and GPU memory usage. Next, to further enhance the hybrid batch based approach, DynaHB integrates a reinforcement learning-based batch adjuster and a pipelined batch generator with a batch reservoir to reduce the cost of generating hybrid batches. Extensive experiments show that DynaHB is capable of up to a 93× and an average of 8.06× speedups over the state-of-the-art training framework.
Texera: A System for Collaborative and Interactive Data Analytics Using Workflows
Authors: Wang Zuozhi , Huang Yicong , Ni Shengquan , Kumar Avinash , Alsudais Sadeem , Liu Xiaozhen , Lin Xinyuan , Ding Yunyan , Li Chen
Published: August 2024

Domain experts play an important role in data science, as their knowledge can unlock valuable insights from data. As they often lack technical skills required to analyze data, they need collaborations with technical experts. In these joint efforts, productive collaborations are critical not only in the phase of constructing a data science task, but more importantly, during the execution of a task. This need stems from the inherent complexity of data science, which often involves user-defined functions or machine-learning operations. Consequently, collaborators want various interactions during runtime, such as pausing/resuming the execution, inspecting an operator's state, and modifying an operator's logic. To achieve the goal, in the past few years we have been developing an open-source system called Texera to support collaborative data analytics using GUI-based workflows as cloud services. In this paper, we present a holistic view of several important design principles we followed in the design and implementation of the system. We focus on different methods of sending messages to running workers, how these methods are adopted to support various runtime interactions from users, and their trade-offs on both performance and consistency. These principles enable Texera to provide powerful user interactions during a workflow execution to facilitate efficient collaborations in data analytics.
Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD
Authors: Yu Geoffrey X. , Wu Ziniu , Kossmann Ferdi , Li Tianyu , Markakis Markos , Ngom Amadou , Madden Samuel , Kraska Tim
Published: August 2024

Modern organizations manage their data with a wide variety of specialized cloud database engines (e.g., Aurora, BigQuery, etc.). However, designing and managing such infrastructures is hard. Developers must consider many possible designs with non-obvious performance consequences; moreover, current software abstractions tightly couple applications to specific systems (e.g., with engine-specific clients), making it difficult to change after initial deployment. A better solution would
virtualize
cloud data management, allowing developers to declaratively specify their workload requirements and rely on automated solutions to design and manage the physical realization. In this paper, we present a technique called
blueprint planning
that achieves this vision. The key idea is to project data infrastructure design decisions into a unified design space (blueprints). We then systematically search over candidate blueprints using cost-based optimization, leveraging learned models to predict the utility of a blueprint on the workload. We use this technique to build BRAD, the first cloud data virtualization system. BRAD users issue queries to a single SQL interface that can be backed by multiple cloud database services. BRAD automatically selects the most suitable engine for each query, provisions and manages resources to minimize costs, and evolves the infrastructure to adapt to workload shifts. Our evaluation shows that BRAD meet user-defined performance targets and improve cost-savings by 1.6--13× compared to serverless auto-scaling or HTAP systems.
Aleph Filter: To Infinity in Constant Time
Authors: Dayan Niv , Bercea Ioana-Oriana , Pagh Rasmus
Published: August 2024

Filter data structures are widely used in various areas of computer science to answer approximate set-membership queries. In many applications, the data grows dynamically, requiring their filters to expand along with the data. However, existing methods for expanding filters cannot maintain stable performance, memory footprint, and false positive rate (FPR) simultaneously. We address this problem with Aleph Filter, which makes the following contributions. (1) It supports all operations (insertions, queries, deletes, etc.) in constant time, no matter how much the data grows. (2) Given an estimate of how much the data will ultimately grow, Aleph Filter provides a memory vs. FPR trade-offs on par with static filters.
Efficient
k
-Clique Count Estimation with Accuracy Guarantee
Authors: Chang Lijun , Gamage Rashmika , Yu Jeffrey Xu
Published: August 2024

Counting and enumerating all occurrences of
k
-cliques, i.e., complete subgraphs with
k
vertices, in a large graph
G
is a fundamental problem with many applications. However, exact solutions are often infeasible due to the exponential growth in the number of
k
-cliques when
k
increases. Thus, a more practical approach is approximately counting and uniformly sampling
k
-cliques. Turán-Shadow and DPColorPath are two state-of-the-art algorithms for approximately counting
k
-cliques. The general idea is first constructing a sample space that is a superset of all
k
-cliques in
G
, and then sampling
t elements
uniformly-at-random (u.a.r.) from the sample space for a pre-determined
t
; the
k
-clique count is estimated as the sample space size multiplied by the ratio of
k
-cliques among the
t
samples. Although techniques have been proposed in Turán-Shadow for setting
t
to ensure the estimation accuracy, the theoretically chosen
t
is often too large to be practical. As a result, both of the existing algorithms used a fixed
t
in their implementations and thus do not offer accuracy guarantee. In this paper, we propose the first randomized algorithm that achieves the theoretical estimation accuracy and the practical efficiency at the same time. Different from the existing algorithms, we pre-determine the number
s
of
k-clique samples
that are required to achieve the estimation accuracy. Consequently, we can estimate the running time of the sampling stage (i.e., time taken to sample
sk
-cliques), for a given sample space. Then, we propose to balance the time of constructing/refining the sample space and the time of the sampling stage, by stopping the refinement of the sample space once the elapsed time is comparable to the estimated time of the sampling stage. Extensive empirical studies on large real graphs show that our algorithm SR-kCCE provides an accurate
k
-clique count estimation and also runs efficiently. As a by-product, our algorithm can also be used for
efficiently sampling
a certain number of
k
-cliques u.a.r. from
G.
Institutional work and institutional entrepreneurship in the Ontario craft beer industry
Authors: Roy Kevin
Published: August 2024

This paper explores how Ontario’s craft brewers created new as well as disrupted and changed existing institutions at local and regional levels in the province’s beer industry. Using a relational economic geography framework and a markets-as-practices perspective, this study highlights the brewer’s collaborative and pro-social practices, showing how close inter-firm relations and engagement with local communities resulted in resource mobilization such as better access to financial capital and greater social capital, which mobilized public support for the industry, and ultimately which helped individual and collective institutional work efforts succeed. The findings are significant as they show how actors in the industry overcame the constraints imposed on them in an oligopolistic market dominated by multinational firms. It also posits craft brewers acted individually at a local scale as institutional entrepreneurs, revisiting criticisms around this concept. This research contributes to understanding how localized market actors can achieve broader institutional change and offers insights into the relationship between market practices and institutional work, including entrepreneurship in craft industries.
Befristung unbefristet? Zu den Arbeitsbedingungen unserer Postdoc-Kolleg:innen
Authors: Huth Andreas
Published: August 2024

Unless they hold a professorship, most academics at German universities are employed on a fixed-term basis. Regardless of their academic achievements such as publications, conferences, and lectures, they lose their job after a few years. Art historians are no exception. Notwithstanding years-long criticism and protest by those affected, as well as professional associations and trade unions, the German government, the federal states, and the universities themselves do little to change this, as they believe they benefit from this system based on competitive pressure and selection. The article is a plea for a joint commitment against poor working conditions in academia.
Progression to Heavy Loading
Authors: Kraemer William J. , Nitka Mike
Published: August 2024

The intricacies of advancing athletes to heavier resistance loading in a resistance training program are explored. Various considerations must be taken as the athlete progresses to heavier loading workouts. The coach must have the ability to evaluate exercise technique and safely progress athletes through different resistance levels to the 3–5 repetition maximum (RM) zone or 80–85% of 1RM. Olympic lifts use a percentage loading, whereas other exercises can use an RM zone to progress. The significance of heavier resistance training in the development of athletes' muscular and connective tissue strength is crucial for injury prevention and 1RM strength development in the core lifts (i.e., squat, power clean, bench press, deadlifts, seated rows). Finally, essential factors for coaches to consider are presented when moving athletes into heavier loading zones, including the expertise in exercise technique, phased general preparation cycles, progression in training volume, the specificity of exercises, and individualized adaptation to each athlete's needs and conditions.
The Lexicon of Pain: Highlighting the Advantages of Applied Theater in Pediatrics through the Lens of Psychodynamic Therapy
Authors: Sextou Persephone , Kiosses Stelios
Published: August 2024

Applied theater for health and well-being suggests itself as an effective tool for social and emotional interaction and communication of emotions, developing creativity, imagination, and regulation of emotions during hospitalization. This paper aims to explore the value of communicating emotions through applied theater and storytelling in pediatrics and its potential in clinical practice in a discussion through the lens of psychodynamic therapy. We will explore the intersections, synergies, and possible collaborations between the theatrical form as a condition for openness and verbalizing pain and therapy as a method of processing and dealing with emotions. We discuss fictional stories told by children during applied theater and storytelling research interventions in hospitals as case studies through the lens of psychodynamic therapy with children. We explore these stories by using interdisciplinary, synthetic, and dialectic analysis between the researcher-artist and the psychodynamic therapist. We ask if the stories that hospitalized children create within theatrical interventions can help adults and clinical staff understand better the children’s lexicon of pain, leading to sensitive healthcare. The rich narrative discussion of the case studies indicates that applied theater in hospitals enhanced well-being support in children and as gateways for improved care. The core themes that emerged include empowerment, synergies and exchanges of emotions, emotional reassurance, and imagination. This analysis of hospitalized children’s stories from a psychodynamic therapist’s point of view has scope for informing alternative, nonmedical activities with children in the hospital and those who would benefit from clinical therapy and the performing arts.
Cardiac-Sympathetic Contractility and Neural Alpha-Band Power: Cross-Modal Collaboration during Approach-Avoidance Conflict
Authors: Dundon Neil M. , Stuber Alexander , Bullock Tom , Garcia Javier O. , Babenko Viktoriya , Rizor Elizabeth , Yang Dengxian , Giesbrecht Barry , Grafton Scott T.
Published: August 2024

As evidence mounts that the cardiac-sympathetic nervous system reacts to challenging cognitive settings, we ask if these responses are epiphenomenal companions or if there is evidence suggesting a more intertwined role of this system with cognitive function. Healthy male and female human participants performed an approach-avoidance paradigm, trading off monetary reward for painful electric shock, while we recorded simultaneous electroencephalographic and cardiac-sympathetic signals. Participants were reward sensitive but also experienced approach-avoidance “conflict” when the subjective appeal of the reward was near equivalent to the revulsion of the cost. Drift-diffusion model parameters suggested that participants managed conflict in part by integrating larger volumes of evidence into choices (wider decision boundaries). Late alpha-band (neural) dynamics were consistent with widening decision boundaries serving to combat reward sensitivity and spread attention more fairly to all dimensions of available information. Independently, wider boundaries were also associated with cardiac “contractility” (an index of sympathetically mediated positive inotropy). We also saw evidence of conflict-specific “collaboration” between the neural and cardiac-sympathetic signals. In states of high conflict, the alignment (i.e., product) of alpha dynamics and contractility were associated with a further widening of the boundary, independent of either signal's singular association. Cross-trial coherence analyses provided additional evidence that the autonomic systems controlling cardiac-sympathetics might influence the assessment of information streams during conflict by disrupting or overriding reward processing. We conclude that cardiac-sympathetic control might play a critical role, in collaboration with cognitive processes, during the approach-avoidance conflict in humans.
Optimizing The Program Kartu Prakerja for Young Workers
Authors: Anggara Rizki Tri , Auwalin Ilmiawan
Published: August 2024

The Program Kartu Prakerja is a vital initiative in Indonesia to enhance job opportunities and quality, particularly for vulnerable individuals such as young workers. Many studies focus on unemployed individuals as research subjects. However, the real challenge is faced by the unemployed and those who are already employed. This paper investigates the program's effectiveness in enhancing employment opportunities for young workers by evaluating its impact on the probability of job retention and earnings. Using the August 2021 National Labour Force Survey (Sakernas) data, this study employs the Propensity Score Matching (PSM) method to compare the treatment group receiving the program with the control group not receiving the intervention. The findings show that the program had a significant negative impact on the probability of job retention for young participants, implying that some participants left their previous jobs in search of new ones. Another finding indicates that the program positively impacts earnings, although this impact was not statistically significant. These findings underscore the program's role as a strategic response to improving the labor market's functioning, which needs further optimization.
The Impact of U.S. Quantitative Research Policy on Asian Macroeconomics
Authors: Yulianita Anna , Rohima Siti , Yunisvita Yunisvita
Published: August 2024

U.S. Quantitative Research policies significantly impact economic variables in Asia-Pacific, including inflation, interest rates, unemployment, and exchange rate depreciation, but the causal relationship remains unclear. Understanding these policies' impact is important for economic stability and growth amid global uncertainty. Using data from the World Bank and IMF, Granger's causality analysis was used to uncover the relationships between these variables. The findings show that U.S. inflation is unrelated to unemployment in the Asia-Pacific, but The Fed's interest rates correlate with inflation and unemployment in the region. Rising US interest rates could have a negative impact on unemployment, especially for countries that depend on foreign capital or have strong economic ties with the U.S. Policy recommendations include enhancing regional cooperation, implementing efficient monetary policy, diversifying the economy, investing in workforce education and training, and evaluating U.S. policies to maintain economic stability in the Asia-Pacific.
Does Corruption Hinder Economic Growth? A Simultaneous Analysis
Authors: Susilowati Indah , Wicaksana Tania , Imantria Benny , Febi Annisa , Anjarsari Lia
Published: August 2024

Corruption has a causal relationship with economic growth that economists have long studied. This study aims to determine the causal relationship between corruption and economic growth, the effects of human development and good governance on corruption, and the effect of investment, labor force, and the use of technology on economic growth. The data used is panel data consisting of 43 Asian countries in 2012-2022, which were analyzed using Two-Stage Least Squares (2SLS). This study found that corruption and economic growth have a positive causal relationship, thus supporting the theory of Sand the Wheel that corruption hinders economic growth in Asian countries except Central Asia, and the determinants of corruption and economic growth have varying effects in the Asian region. This study provides information for stakeholders to develop policies that encourage economic growth by prioritizing human development, creating good governance, and increasing physical capital, human capital, and technology adoption.
Subacute thyroiditis during pregnancy: clinical characteristics of seven cases
Authors: Imai Hideyuki , Watanabe Natsuko , Hirose Rei , Koshibu Masakazu , Ichikawa Masahiro , Sankoda Akiko , Hiruma Shigenori , Suzuki Nami , Matsumoto Masako , Fukushita Miho , Yoshihara Ai , Yoshimura Noh Jaeduk , Sugino Kiminori , Ito Koichi
Published: August 2024

Objective

There are few reports of subacute thyroiditis (SAT) during pregnancy. This study aimed to clarify the clinical characteristics of SAT in pregnant patients.

Methods and results

Seven patients diagnosed with SAT during pregnancy at our institution from January 2004 to December 2021 were identified, and their clinical findings were retrospectively examined. At SAT diagnosis, the median age was 34 (range: 31–42) years, the median duration of pregnancy was 5 (4–24) weeks, and all patients had neck pain but no fever. On laboratory examination, median (range) free thyroxine, free triiodothyronine, and C-reactive protein levels were 2.66 (1.14–7.77) ng/dL, 7.1 (3.3–16.1) pg/mL, and 2.22 (0.42–5.79) mg/dL, respectively, and all patients had a hypoechoic lesion of the thyroid gland. Three patients (43%) were treated with steroids, and three patients (43%) received replacement therapy with levothyroxine for hypothyroidism following destructive thyroiditis. There were no pregnancy complications in any of the cases. These seven patients (pregnancy group) were compared with 217 non-pregnant female patients (non-pregnancy group) aged 31 to 42 years who were diagnosed with SAT at our institution from 2016 to 2019. The frequency of body temperatures above 37°C was lower in the pregnancy group than in the non-pregnancy group (0% vs 65%).

Conclusion

Patients who develop SAT during pregnancy may have less fever than non-pregnant patients with SAT. There were no pregnancy complications in the pregnancy group in this study. This suggests that adverse pregnancy outcomes may be avoided by the appropriate management of SAT, including hypothyroidism after destructive thyroiditis.
Development of a Protein Concept Inventory: A Proposal for Item Scoring and Responding
Authors: Taşçi Güntay
Published: August 2024

The present study has aimed to develop and validate a protein concept inventory (PCI) consisting of 25 multiple-choice (MC) questions to assess students’ understanding of protein, which is a fundamental concept across different biology disciplines. The development process of the PCI involved a literature review to identify protein-related content, validation interviews to iteratively validate and refine the created items (n = 26), and data collection from a large sample (n = 291) for statistical analysis. An expert interview was held with two different field experts regarding the content validity of the draft PCI tool, the suitability of the options, and the clarity of the items. Free choice format (multiple marking) was used to answer the developed MC items. In scoring these items, positive points were given to correct options, and negative points were given to incorrect options. Evidence regarding the psychometric properties of the PCI trial form was collected through factor analysis, group differentiation, internal consistency, and item analysis using quantitative data. The evidence collected demonstrates that the validity and reliability of the PCI as a measurement tool have been confirmed. PCI’s scoring approach and the use of response patterns created by multiple markings in teaching are discussed.
PENDAMPINGAN PEMBUATAN SISTEM APLIKASI ABSENSI FOTO SELFI PEGAWAI BERBASIS WEBSITE DP3AKB KABUPATEN JEMBER
Authors: Umilasari Reni , Rosadi Imam , Putranto Bima Arya
Published: August 2024

Presensi dapat dikatakan suatu tanda kehadiran yang merupakan bagian dari aktifitas pelaporan yang ada dalam institusi. Presensi foto selfi merupakan ide kreatif yang ramah lingkungan atau paperless menggunakan teknologi tersebut berbasis kodular (situs web pembuatan aplikasi). Selain itu, penerapan database seperti Mysql yang digunakan sebagai inputan data presensi dapat berupa Pdf maupun Excel untuk penyimpanan data atau database. Pelaporannya efektif untuk dikelola, karena pada dasarnya Pdf atau Excel dapat diakses dengan mudah, serta keuntungan lain dari penggunaan tersebut adalah free atau tanpa biaya hanya bermodalkan aplikasi dari perangkat pengguna. Sehingga proses kontroling dari pimpinan dapat terlaksana dengan baik, pihak pimpinan dapat mengetahui pegawai hadir atau tidak dengan melihat record data.

Kata Kunci: foto selfie, presensi, website
PELATIHAN PEMBUATAN SABUN CUCI PIRING DI DESA WAY KANDIS KECAMATAN TANJUNG SENANG
Authors: Dewi Novian Riskiana , Rahmadina Nova , Ambarwati Riyama
Published: August 2024

Soap is an essential ingredient used to wash kitchen utensils, clothes, household furniture, the body, and so on. Soap is made from a mixture of alkali and triglycerides from fat. Dish washing soap is a necessity in the household which functions as a remover of dirt and grease on eating and cooking utensils. This article contains information and explanation regarding the work program for making dishwashing soap. The complete description of this article includes the provision of materials, processes or manufacturing steps to the results and implementation of the results to the community. The approach used is qualitative-descriptive. The output from carrying out this activity is increasing the capability of Ummahat women in Way Kandis Village in making economically valuable dishwashing soap.

Keywords: Soap, Dish Soap, Training
Reader Comments: Considerations for the Design of Precast Concrete Bearing Wall Buildings to Withstand Abnormal Loads
Authors: Mattock Alan
Published: August 2024

This Discussion (on page 105) of a previously published article was cited by ACI 318-19(22).
Detection of extended-spectrum β-lactamase producing Escherichia coli in table eggs from Istanbul
Authors: Suleymanoglu Ali Anil , Aydin Ali , Aksu Harun
Published: August 2024

ESBL-producing Escherichia coli strains threaten public health and obligate the use of last-resort antibiotics. This study identified 15 E. coli isolates through 16S rRNA and gyrB genes, specific to E. coli, in 120 egg samples (12.5%). Antibiotic resistance was detected according to the EUCAST and CLSI in E. coli isolates. 2 isolates were susceptible to all antibiotics, one isolate was resistant to one antibiotic, one isolate was resistant to 2 antibiotics, and 11 E. coli isolates (73.3%) had multidrug resistance. Most frequent antibiotic resistances were detected against ampicillin (80%), tetracycline (66.6%), and chloramphenicol (66.6%). A double-disc confirmation test was used to detect ESBL production, and blaTEM, blaSHV, blaCTX-M and blaOXA genes were searched by PCR. The blaTEM (100%) gene was found in all resistant E. coli isolates, and the blaCTX-M gene was detected in only 3 (20%) E. coli isolates. None of the E. coli isolates contained the genes responsible for carbapenem and colistin resistance. Our results show that multi-drug antibiotic resistance and the blaTEM gene are frequent in E. coli from table eggs in Istanbul. This is the first preliminary study on ESBL-producing E. coli isolates in table eggs in Türkiye.
Comparative analysis of external load in small-sided games versus official matches among professional football players
Authors: Kaya Kaan , Gürol Barış , Tarakcı Selçuk
Published: August 2024

Background and Study Aim. Coaches frequently use small-sided games with numerical inequalities. However, it is unclear if these games accurately represent official matches. This study aims to identify the differences in external load between small-sided games and official matches among professional soccer players, incorporating the variance due to positional roles.
Material and Methods. The analysis used GPS data collected from 20 professional football players from Turkish Super League club's first team during the 2023-2024 season. The small-sided games (SSGs) were structured as 4vs4+3, including three joker players. Players were divided into five groups based on their field positions: central defenders, fullbacks, midfielders, wingers, and forwards. The GPS metrics recorded included total distance (m), moderate-intensity running distance (16-20 km/h), high-intensity running distance (20-25 km/h), sprint distance (>25 km/h), the number of accelerations and decelerations, and high metabolic power distance, both in absolute and relative terms. Furthermore, the SSGs were compared based on the number of days prior to official matches when they were conducted.
Results. The findings revealed that the highest values for all external load variables were recorded 4 to 5 days before official matches (p<0.001). However, the per-minute acceleration rate (2.5003±1.09288) and deceleration rate (2.4971±1.10671) in the SSGs were significantly higher than those observed in official matches (p<0.001).
Conclusions. Coaches and conditioning trainers aiming to simulate match conditions in training should consider using 4vs4+3 SSGs with joker players more tactically. This approach is especially effective for enhancing possession, creating numerical superiority, and focusing on performance metrics such as acceleration and deceleration.
Effects of thoracic spine mobilization on chest expansion in patients with chronic mechanical neck pain: a randomized controlled trial
Authors: Hafez Hanaa Ali , Mohamed Mohamed Ahmed , Elarian Ahmed Ibrahim , Nasreldien Mennaallahy , Hossam Asmaa , Abbas Osama yassin , Abd Allah Dina S
Published: August 2024

Background and Study Aim. Chronic mechanical neck pain significantly impacts the quality of life and functional capacity of individuals, often necessitating long-term management strategies. Traditional stretching exercises are commonly prescribed, but their effectiveness compared to other interventions remains underexplored. The objective of this study was to compare the effectiveness of traditional stretching exercise regimens against thoracic spine and rib mobilization in patients with chronic mechanical neck pain.
Material and Methods. This randomized controlled trial included 30 patients aged between thirty and fifty years, all suffering from mechanical neck pain. Patients were randomly assigned to one of two groups, with 15 in each group (Group A: n=15; Group B: n=15). Group A received thoracic spine mobilization coupled with standard passive stretching exercises, whereas Group B underwent a traditional stretching exercise regimen. Both groups were evaluated using the visual analogy scale for pain, active cervical range of motion (ROM), and chest expansion, both before and after a two-week therapy course.
Results. Findings from this study were analyzed using a two-way mixed-model multivariate analysis of variance (MANOVA). The results showed no significant differences between Group A (thoracic spine mobilization and standard passive stretching) and Group B (traditional stretching regimen) regarding pain intensity, active cervical range of motion, and chest expansion after the two-week intervention period (p > 0.05). However, significant improvements were observed within each group across all measured outcomes, including reductions in pain intensity and increases in cervical range of motion and chest expansion (p < 0.001).
Conclusions. The study confirms that both passive stretching exercises and thoracic spine mobilization are beneficial interventions for enhancing physical outcomes in patients with mechanical nonspecific neck pain. These approaches are equally effective in improving overall physical functionality, underscoring their value in therapeutic settings for neck pain management.
Effect of lower extremity joint distraction exercises during warm-up on range of motion, flexibility, and jump performance in female volleyball players
Authors: Taş Burak , Ok Eylem , Akalp Uğur , Bingül Bergün Meriç , Gelen Ertuğrul
Published: August 2024

Background and Study Aim. Effective warm-up routines are critical for enhancing athletic performance and reducing injury risk. Joint distraction exercises are hypothesized to improve range of motion (ROM), flexibility, and jump performance, yet their effects are not well-documented in volleyball. This study aims to investigate the impact of joint distraction exercises applied to the lower extremities during warm-ups on ROM, flexibility, and jump performance in female volleyball players.
Material and Methods. Twenty-four female volleyball players voluntarily participated in this study. The standard protocol included routine warm-ups followed by pre-tests measuring flexibility, range of motion (ROM), vertical jump (VJ), and horizontal jump (HJ). After a 48-hour rest period to minimize fatigue effects, the athletes underwent joint distraction exercises using elastic bands targeted at the lower extremities. Post-tests were conducted after these specific warm-up exercises to assess any changes. Data analysis was performed using SPSS software
Results. The study found no significant difference in hip flexion range of motion (ROM) scores following joint distraction exercises (p > 0.05). However, statistically significant improvements were observed in overall flexibility, ankle dorsiflexion ROM, and both vertical and horizontal jump performances (p < 0.05).
Conclusions. The study demonstrates that joint distraction exercises during warm-ups significantly enhance flexibility, range of motion (ROM), and jump performance in female volleyball players. Incorporating these exercises into routine warm-ups could be crucial for optimizing athletic performance and potentially reducing injury risks.
The effectiveness of cooperative learning strategy for mastery in enhancing the skill performance of some gymnastics floor movements
Authors: Khataybeh Abdallah , AL-shadiedh Maysloon , Khasawneh Ghada
Published: August 2024

Background and Study Aim. In the rapidly evolving field of physical education, employing innovative teaching methods is crucial for enhancing student learning and skill acquisition. The aim of this study is to evaluate the effectiveness of a cooperative learning strategy specifically designed to enhance the mastery of gymnastics floor skills among physical education students.
Material and Methods. Thirty-six male students from Al al-Bayt University were divided into experimental and control groups using a quasi-experimental design. The control group received standard training, while the experimental group participated in a six-week, twelve-session educational program that employed a cooperative learning technique for skill mastery. The skills evaluated included Shoulder Stand, Front Handspring, Roundoff Back Handspring, and Front Balance.
Results. In every evaluated gymnastics floor movement, the experimental group demonstrated statistically significant improvements. Cooperative learning accounted for 51.8% of the variation in total skill competency, with substantial gains in individual skills: a 31.4% increase in front balance (mean score improved from 0.00 to 4.39), a 17% increase in shoulder stand (mean score improved from 0.06 to 4.67), a 25.2% increase in front handspring (mean score improved from 0.17 to 4.50), and a 41.1% increase in roundoff back handspring (mean score improved from 0.22 to 4.06). The experimental group's total gymnastics skill score was 17.61 (SD = 1.85), significantly higher than the control group's score of 13.50 (SD = 2.23). While the control group also showed improvements in gymnastics skills, the increases were less pronounced, with the roundoff back handspring mean score rising from 0.17 to 2.67 and the front handspring from 0.11 to 3.67.
Conclusions. The results of this study clearly demonstrate the benefits of using cooperative learning techniques in physical education, particularly in the context of teaching gymnastics floor routines. Besides significantly advancing skill mastery, this approach fostered a cooperative and supportive learning atmosphere. The effectiveness of the cooperative learning strategy in this context underscores its potential as an innovative teaching technique that can enhance student engagement, and promote a deeper understanding and retention of motor skills. Educators are encouraged to explore and adopt this strategy, extending its benefits to a wider variety of sports disciplines and educational settings, thereby enriching the pedagogical landscape of physical education.
Hydration management in rugby: a comparative study on the forward and back positions of the Indonesian national team
Authors: Nurdin Fatah , Lestari Pipit Ayu , Yuliasih Yuliasih , Mashud Mashud , Akhmad Imran , Adha Maulana Amirul
Published: August 2024

Background and Study Aim. In the Indonesian national rugby team, there is a lack of awareness among back and forward players about the amount of fluids they lose while playing their respective positions. This is due to the different intensity and roles associated with each position. The aim of this research is to determine the difference in body fluid loss between players in the forward and back positions in the Indonesian national rugby team.
Material and Methods. The research method used in this study was an experimental method with a two-group pre-test and post-test design. The data collection process employed purposive sampling with the criterion of selecting 12 individuals from a population of 23 who were willing to participate. The data analysis technique used was the independent t-test.
Results. The research results concluded that there was a significant difference in body weight between the initial and final tests for players in the forward position. The t-count of 7.661 exceeded the t-table value of 2.571. Similarly, for players in the back position, there was a significant difference in body weight before and after the match. The t-count of 4.805 exceeded the t-table value of 2.571. Furthermore, when comparing fluid loss between forwards and backs, there was a significant difference. The t-count of 2.443 was greater than the t-table value of 2.222. This demonstrates the difference in fluid loss after competing with the Indonesian national rugby team.
Conclusions. The weight of both forward and back players decreased after competing. There are differences in body fluid loss between the two positions, with forwards losing more fluid than backs. This study provides empirical evidence that the position played on the field influences the amount of body fluid lost during the game. This insight is important for developing customized hydration strategies that consider the specific physical demands of each playing position.
Effect of vitamin D on body mass index in football athletes
Authors: Sultan Naqib , Arif Tasleem , Shah Inayat , Khan Wasim
Published: August 2024

Background and Study Aim. Vitamin D deficiency is a critical issue for athletes, and the major cause of Vitamin D deficiency is the involvement of athletes in indoor sports activities. Indoor training of athletes has similar risk factors for vitamin D deficiency as compared to the rest of the population. Therefore, this study aimed to examine the influence of Vitamin D on BMI among football athletes in Pakistan.
Material and Methods. Twelve football athletes (n=6 Experimental Group, n=6 Control Group) from Mian Kalay were recruited through a convenient sample with the average age of the participants being 19.08 ± 2.35 years. Weight, height, and body mass index were measured using a standard stadiometer (ZT-120, China) and analyzed using SPSS version 26. The Experimental Group was kept in games with sunlight exposure for a period of 120 days while the Control Group was restricted. Blood samples were collected by an Agha Khan Lab expert using a 3cc syringe, then transferred into a 3cc gel tube, and 1ml of serum was obtained after centrifugation from all participants.
Results. The Experimental Group showed significant increases in Vitamin D levels (17.58 vs 43.36, p-value 0.003) and decreases in weight (p=0.001) and BMI (24.00 vs 22.32, p-value <0.001). Meanwhile, the Control Group experienced decreases in Vitamin D levels (20.85 vs 10.86, p-value 0.036) and increases in weight (p<0.001) and BMI (21.11 vs 21.60, p-value 0.023) due to restriction from sunlight.
Conclusions. Training in sunlight significantly increased the Vitamin D levels of athletes and decreased their weight and BMI. Moreover, indoor sports activities significantly decreased Vitamin D levels and increased the weight and BMI levels of athletes.
القوافي في الشعر من تجارب الإمام مع الأيّام- مع النفس-مع القضاء للإمام الشافعي
Authors: Nurcholis Agung , Khoiry Ulfi Usykuriyah
Published: August 2024

الملخصهدفت هذه الدراسة إلى معرفة القوافي في شعر من تجارب الإمام مع الأيّام- مع النفس- مع القضاء للإمام الشافعي. أمّا منهج البحث فاختار الباحثان منهج البحث المكتبي هو إحدى من نوعية البحث الذي يستخدم في جمع البيانات والمعلومات من خلال الأدبيات، الكتب، الملاحظات، أو المراجع الأخرى لنيل الإجابة والنظرية مطابقا بالمسألة. وأما مصادر البيانات فهو الشعر "من تجارب الإمام مع الأيّام-مع النفس-مع القضاء للإمام الشافعي. وجمع الباحثان البيانات بتحديد المعلومات من الكتب، المقالة، أو الشبكة، أو المعلومات الأخرى المتعلّقة بالبحث. وحلّل الباحثان بشكل التحليل الوصفي أو هذا التحليل من سعي الباحثة في ترتيب البيانات ثمّ يحللّها والتحليل المحتوى أو يركز هذا التحليل في المحتوى حتى يتمكن الباحثة في تحليل التي يمكن تحليلها. مؤسسا بنتيجة البحث في علم القوافي المستخدم في الكلمة هي بعض الكلمة والكلمة، وفي الأحرف هو الراوي والردف، وفي الحركة هي المجرى والحذو، وفي نوع القوافي هو المطلقة المردوفة، ولا توجد عيب القافية، وفي اسم القافية هي المتواتر.الكلمات المقتاحيّة: القوافي، الشعر ، من تجارب الإمام مع الأيّام- مع النفس- مع القضاء للإمام الشافعي.ABSTRAKPenelitian ini bertujuan untuk mengetahui qafiyah dalam syair “Min Tajarubi al- imam ma’a al- Ayyam ma’a an-Nafs ma’a al-Qadha’” dari Imam Syafi’i. Metode yang digunakan dalam penelitian ini adalah Library research yaitu salah satu jenis penelitian yang digunakan dalam mengumpulkan data dan informasi melalui literature, buku, catatan atau referensi lain untuk mendapatkan jawaban dan teori yang sesuai dengan penelitian. Adapun sumber datanya adalah syair “Min Tajarubi al- imam ma’a al- Ayyam ma’a an-Nafs ma’a al-Qadha’” dari Imam Syafi’i. dalam mengumpulan data peneliti memilih berbagai informasi dari buku, artikel, website atau informasi lain yang berkaitan dengan penelitian. Analisis dalam penelitian ini dengan analisis deskriptif atau analisis dalam menyusun data kemudian menganalisis isi atau memfokuskan analisis pada isi sehingga dapat focus dengan analisis. Berdasarkan hasil penelitian dalam ilmu Qawafi yang dipakai dalam syair dari segi kata adalah sebagian kata dan satu kata,sedangkan dalam segi huruf adalah rawi dan ridf, dan dari segi harakat adalah majra’ dan hadwu, dan pada macam qafiyah adalah muthlaqoh mardufah dan tidak terdapat aib qafiyah, dan dari segi nama qafiyah yang digunakan adalah mutawatir.Kata Kunci: Qawafi, Syair, Min Tajarubi al- imam ma’a al- Ayyam ma’a an-Nafs ma’a al-Qadha
Strategi Komunikasi Pemasaran Perusahaan Dalam Upaya Meningkatkan Penjualan Minuman Waralaba di Era Disrupsi
Authors: Fatharani Juniar , Paryati Paryati , Ma’arif Abdul Aziz
Published: August 2024

The aim of this research is to analyze and identify marketing communication strategies that can be used by franchised beverage companies in facing changes and challenges in the era of disruption. The method of data collection will be carried out through in-depth interviews with related parties in the company, direct observation of marketing communication practices carried out, as well as analysis of marketing documents and materials used by the company. The results of this study are expected to provide insight into effective marketing communication strategies in increasing franchised beverage sales in the disruption era. Factors that influence the success of a marketing communication strategy also include product, price, place and promotion, including the use of social media, digital technology, message personalization, and utilization of consumer data. This research will contribute to the understanding of how companies can face challenges in the era of disruption and optimize their marketing communications to achieve business success.