bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analisis Penjualan Produk Air Minum Dalam Kemasan Menggunakan Metode Least Square Dan Angka Indeks Pada Pt. Panen Embun Kemakmuran Tahun 2022
Authors: Ines Saraswati Machfiroh  , Gati Anjaswari  , Cahaya Ayu Ramadhan  
Published: February 2024

Penjualan merupakan bagian penting dalam operasi perusahaan, namun penjualan yang terjadi dapat mengalami kenaikan/penurunan penjualan (fluktuasi) sehingga menyebabkan kerugian penjualan. Kerugian penjualan dapat diantisipasi dengan melakukan analisis penjualan menggunakan perhitungan metode Least Square, Angka Indeks dan mendeskripsikan faktor yang mempengaruhi penjualan tersebut. Perhitungan metode Least Square bertujuan meramalkan penjualan semua produk yang terjual pada Tahun 2022, perhitungan Angka Indeks bertujuan mengetahui naik atau turunnya tingkat persentase penjualan Januari s.d Maret Tahun 2022, mendeskripsikan faktor-faktor penjualan bertujuan mengetahui faktor yang mempengaruhi tingkat persentase penjualan Januari s.d Maret Tahun 2022. Hasil peramalan menunjukkan penjualan yang terjadi pada Tahun 2022 akan mengalami peningkatan penjualan yaitu sebesar 1.323.850 unit jika dibandingkan dengan penjualan Tahun 2021 yaitu sebesar 550.058 unit. Hasil tingkat persentase penjualan pada Januari mengalami peningkatan penjualan sebesar 19%, Februari mengalami peningkatan penjualan sebesar 49% dan Maret mengalami penurunan penjualan sebesar (-1%). Faktor yang mempengaruhi peningkatan penjualan pada Januari karena bertambahnya agen penjualan dan adanya promosi penjualan yang bertepatan perayaan awal tahun baru. Faktor yang mempengaruhi peningkatan penjualan Februari karena bertepatan perayaan tahun baru imlek dan semua jenis produk tersedia lengkap. Faktor yang mempengaruhi penurunan tingkat penjualan Maret karena beberapa jenis produk mengalami peningkatan kuantitas penjualan tidak signifikan dan beberapa jenis produk lainnya mengalami penurunan penjualan yang disebabkan tidak lengkapnya produk yang terjual akibat kerusakan mesin produksi
Kata Kunci: Penjualan, Metode Least Square, Metode Angka Indeks, Faktor-faktor Penjualan
Psychological predictors of performance-based physical functioning among pediatric pain program participants
Authors: Bourchtein Elizaveta , McLaughlin Alix , Walainis Kimberly , Hughes Amanda , Scott Eric L. , Foxen-Craft Emily 
Published: February 2024

PURPOSE: The purpose of the present study was to evaluate changes in performance-based physical functioning and investigate psychological predictors of physical functioning over time in pediatric patients with chronic pain who completed an interdisciplinary rehabilitation intensive outpatient program (IOP). METHODS: Participants (N = 55; mean age = 14.92 years; 12.7% male, 87.3% female; 83.6% White, 5.6% African-American/Black; 9.1% Latinx) completed baseline measures assessing pain intensity and modifiable psychological factors (i.e., pain catastrophizing, kinesiophobia, anxiety and depressive symptoms). Participants were administered performance-based assessments of physical functioning (i.e., physical endurance, high-level motor abilities) before and after IOP completion. RESULTS: Pain intensity was not significantly associated with physical functioning at either timepoint. There was significant improvement on measures of physical functioning after completion of the IOP when controlling for the effects of sex, race, and ethnicity. Depressive symptoms were associated with baseline physical endurance, β = − .28, p = .047, while pain catastrophizing was associated with baseline gross motor abilities, β = − .28, p = .032. CONCLUSION: Participation in an IOP led to significant improvement in physical endurance and high-level motor ability. Depressive symptoms and pain catastrophizing were associated with physical functioning at baseline but not post-program completion. Integration of pain psychology and physical therapy in an IOP can help address the interrelated psychological and physical factors impacting physical functioning to improve outcomes for children with chronic pain.
Classification of Diabetic Retinopathy Images through Deep Learning Models - Color Channel Approach: A Review
Authors: Salih Sardar , Abdulazeez Adnan Mohsin 
Published: February 2024

On a global scale diabetic retinopathy, or DR, is the most common cause of vision loss. Blindness can be prevented with prompt treatment and early identification with retinal screening. Automated analysis of fundus imagery is growing prominently as a means of increasing screening efficiency, thanks to the development of deep learning. This work focuses on deep learning methods for automatic DR severity grading using color channel information. First, we give some basic information on the etiology and color features of DR lesions. Next, a novel support for deep learning technique that use unprocessed color photos as input for comprehensive feature learning. A review is mentioned on color space encodings, data augmentation methods. A summary of the evaluation parameters and public databases that were utilized to benchmark DR techniques are provided. The objective of how color channel information in retinal pictures can be efficiently utilized by deep learning models for automated DR screening has been discussed with statistical support.
An Integrated Gesture Framework of Smart Entry Based on Arduino and Random Forest Classifier
Authors: Almufti Saman M. , Abdulazeez Adnan Mohsin 
Published: February 2024

Gesture-based systems have emerged as a prominent breakthrough in the field of smart access control, effectively integrating security measures with user comfort. This study presents a novel gesture detection framework for smart entry systems that combines the computational capabilities of a Random Forest Classifier with the practicality of Arduino-based hardware. Central to methodology is the utilization of MediaPipe, an advanced computer vision library, to extract hand motion landmarks from live video streams. The selected landmarks function as a comprehensive dataset for training a Random Forest Classifier, which has been specifically chosen due to its high level of accuracy and efficiency in managing intricate classification jobs. The model exhibits outstanding competence in the categorization of gestures in real-time, attaining high levels of accuracy that are crucial for ensuring dependable entrance control. The Arduino microcontroller plays a vital role in the execution of the entry mechanism as it serves as the intermediary between the gesture detection software and the tangible entry control hardware. The incorporation of gesture recognition technology facilitates a cohesive and prompt user experience, wherein identified motions are directly converted into input commands. The system's practical use is demonstrated through a series of detailed tests, which highlight its dependability and efficiency across diverse climatic circumstances. The findings underscore the system's capacity as a flexible and safe solution for contactless access in many environments, including both private homes and highly protected establishments. Furthermore, the study makes a substantial contribution to the larger domain of human-computer interaction by showcasing the practicality of advanced gesture detection systems in many everyday contexts. The suggested framework presents a novel approach to smart entry systems and also paves the way for further investigation in the domains of smart home automation and interactive systems. In these areas, gesture-based interfaces have the potential to deliver user experiences that are both intuitive and efficient.
IMPLEMENTASI MODEL PEMBELAJARAN EXAMPLE NON EXAMPLE DALAM MENINGKATKAN HASIL BELAJAR BAHASA INGGRIS DI SEKOLAH MENENGAH PERTAMA
Authors: Aswad Cut nur aswad 
Published: February 2024

Penelitian ini dilatarbelakangi oleh kendala yang dihadapi dalam proses pembelajaran Bahasa Inggris salah satunya adalah kurangnya pemahaman peserta didik terhadap materi-materi yang diajarkan oleh guru. Kondisi tersebut disebabkan oleh berbagai hal, di antaranya yaitu: 1). Cara mengajar guru yang masih menggunakan metode yang bersifat tradisional 2). Pada saat pembelajaran berlangsung peserta didik terlihat pasif dan kurang tertarik dengan pembelajaran yang disampaikan oleh pendidik 3). Pembelajaran Bahasa Inggris terlalu banyak materi 4) Peserta didik jarang membawa kamus. Oleh karena itu peneliti menggunakan model pembelajaran example non example untuk meningkatkan hasil belajar peserta didik dalam materi Teks Khusus berbentuk Label. Pembelajaran dengan menggunakan Model Pembelajaran Example Non Example ini diharapkan dapat menjadikan kegiatan belajar mengajar yang lebih menarik sehingga hasil belajarnya akan meningkat. Untuk mengetahui peningkatan hasil belajar mata pelajaran Bahasa Inggris. Hal ini dapat dilihat dari meningkatnya nilai hasil belajar peserta didik. Hal ini dibuktikan dengan hasil belajar peserta didik dari pelaksanaan Kondisi Awal, siklus I dan siklus II yaitu sebelum diberi tindakan diperoleh nilai ketuntasan peserta didik dengan taraf keberhasilan 36%. Setelah dilakukan Model Pembelajaran Example Non Example pada siklus I mengalami peningkatan sebesar 32%, nilai ketuntasan siklus I menjadi 68% dengan jumlah ketuntasan peserta didik 15 dan yang tidak tuntas 7. Kemudian dengan Model Pembelajaran ini dilakukan perbaikan pada siklus II, dan hasilnya menunjukkan peningkatan pada nilai rata-rata kelas 82.7 dengan Persentase 91% sehingga dengan jumlah ketuntasan peserta sepenuhnya tuntas. Dengan demikian dapat disimpulkan bahwa penerapan Model Pembelajaran Example Non Example dapat meningkatkan hasil belajar Bahasa Inggris peserta didik kelas IX-1 SMP Negeri 1 Peureulak Barat Tahun Pelajaran 2021-2022.
A comparative analysis of energy expenditure and substrate metabolism in male university students with overweight/obesity: Tabata vs HIIT and MICT
Authors: Wang Yongbo , Fan Changming , Cheng Lin , Wang Yifei , Peng Danxing , Li Fengcai , Han Yanbai , Wang Hongli 
Published: February 2024

IntroductionExploring the energy expenditure and substrate metabolism data during exercise, 10-minute recovery, and 20-minute recovery phases in Tabata, HIIT(High-Intensity Interval Training), and MICT(Moderate-Intensity Continuous Training). This study explores the scientific aspects of weight reduction strategies, examining energy expenditure and substrate metabolism from various training perspectives. The aim is to establish a theoretical foundation for tailoring targeted exercise plans for individuals within the population with overweight/obesity.MethodsThis study used an experimental design with fifteen male university students with overweight/obesity. Participants underwent random testing with Tabata, HIIT, and MICT. Tabata involved eight sets of 20 seconds exercise and 10 seconds rest, totaling 4 minutes. HIIT included four sets of power cycling: 3 minutes at 80% VO2max intensity followed by 2 minutes at 20% VO2max. MICT comprised 30 minutes of exercise at 50% VO2max intensity. Gas metabolism indices were continuously measured. Subsequently, fat and glucose oxidation rates, along with energy expenditure, were calculated for each exercise type.ResultsDuring both the exercise and recovery phases, the Tabata group exhibited a significantly higher fat oxidation rate of (0.27 ± 0.03 g/min) compared to the HIIT group (0.20 ± 0.04 g/min, p&lt;0.05) and the MICT group (0.20 ± 0.03g/min, p&lt;0.001). No significant difference was observed between the HIIT and MICT groups (p=0.854). In terms of energy expenditure rate, the Tabata group maintained a substantially elevated level at 5.76 ± 0.74kcal/min compared to the HIIT group (4.81 ± 0.25kcal/min, p&lt;0.01) and the MICT group (3.45 ± 0.25kcal/min, p&lt;0.001). Additionally, the energy expenditure rate of the HIIT group surpassed that of the MICT group significantly (p&lt;0.001).ConclusionThe study finds that male college students with overweight/obesity in both exercise and recovery, Tabata group has lower fat and glucose oxidation rates, and energy expenditure compared to HIIT and MICT groups. However, over the entire process, Tabata still exhibits significantly higher rates in these aspects than HIIT and MICT. Despite a shorter exercise duration, Tabata shows a noticeable “time-efficiency” advantage. Tabata can be used as an efficient short-term weight loss exercise program for male college students with overweight/obesity.
Macrophage extracellular traps require peptidylarginine deiminase 2 and 4 and are a source of citrullinated antigens bound by rheumatoid arthritis autoantibodies
Authors: Bashar S. Janna , Holmes Caitlyn L. , Shelef Miriam A. 
Published: February 2024

IntroductionAnti-citrullinated protein antibodies (ACPAs) are a hallmark of rheumatoid arthritis, but the sources of citrullinated antigens as well as which peptidylarginine deiminases (PADs) are required for their production remain incompletely defined. Here, we investigated if macrophage extracellular traps (METs) could be a source of citrullinated proteins bound by APCAs, and if their formation requires PAD2 or PAD4. MethodsThioglycolate-induced peritoneal macrophages from wild-type, PAD2-/-, and PAD4-/- mice or human peripheral blood-derived M1 macrophages were activated with a variety of stimulants, then fixed and stained with DAPI and either anti-citrullinated histone H4 (citH4) antibody or sera from ACPA+ or ACPA- rheumatoid arthritis subjects. METs were visualized by immunofluorescence, confirmed to be extracellular using DNase, and quantified. ResultsWe found that ionomycin and monosodium urate crystals reliably induced murine citH4+ METs, which were reduced in the absence of PAD2 and lost in the absence of PAD4. Also, IgG from ACPA+, but not ACPA-, rheumatoid arthritis sera bound to murine METs, and in the absence of PAD2 or PAD4, ACPA-bound METs were lost. Finally, ionomycin induced human METs that are citH4+ and ACPA-bound. DiscussionThus, METs may contribute to the pool of citrullinated antigens bound by ACPAs in a PAD2- and PAD4-dependent manner, providing new insights into the targets of immune tolerance loss in rheumatoid arthritis.
COVID-19 mortality rate and its determinants in Ethiopia: a systematic review and meta-analysis
Authors: Wondmeneh Temesgen Gebeyehu , Mohammed Jemal Abdu 
Published: February 2024

BackgroundThe COVID-19 mortality rate continues to be high in low-income countries like Ethiopia as the new variant’s transmission expands and the countries’ limited capacity to combat the disease causes severe outcomes, including deaths. The aim of this study is to determine the magnitude of the COVID-19 mortality rate and its determinants in Ethiopia.MethodsThe main electronic databases searched were PubMed, CINAHL, Google Scholar, and African journals online. The included studies’ qualities were assessed independently using the Newcastle-Ottawa scale. The data was extracted in Microsoft Excel spreadsheet format. The pooled effect size and odds ratios with 95% confidence intervals across studies were determined using the random-effects model. I2 is used to estimate the percentage of overall variation across studies due to heterogeneity. Egger’s test and funnel plot were used to find the published bias. A subgroup analysis was conducted. The effect of a single study on the overall estimation was determined by sensitivity analysis.ResultsA total of 21 studies with 42,307 study participants were included in the final analysis. The pooled prevalence of COVID-19 mortality was 14.44% (95% CI: 10.35–19.08%), with high significant heterogeneity (I2 = 98.92%, p &lt; 0.001). The risk of mortality from COVID-19 disease was higher for patients with comorbidity (AHR = 1.84, 95% CI: 1.13–2.54) and cardiovascular disease (AHR = 2, 95% CI: 1.09–2.99) than their counterparts without these conditions.ConclusionA significant number of COVID-19 patients died in Ethiopia. COVID-19 patients with comorbidities, particularly those with cardiovascular disease, should receive special attention to reduce COVID-19 mortality.Systematic review registrationhttps://www.crd.york.ac.uk/PROSPERO/, registration identifier (ID) CRD42020165740.
Diversity of species and geographic distribution of tick-borne viruses in China
Authors: Wu Yi , Zhou Qian , Mao Meihan , Chen Huangliang , Qi Rui 
Published: February 2024

IntroductionTick-borne pathogens especially viruses are continuously appearing worldwide, which have caused severe public health threats. Understanding the species, distribution and epidemiological trends of tick-borne viruses (TBVs) is essential for disease surveillance and control.MethodsIn this study, the data on TBVs and the distribution of ticks in China were collected from databases and literature. The geographic distribution of TBVs in China was mapped based on geographic locations of viruses where they were prevalent or they were detected in vector ticks. TBVs sequences were collected from The National Center for Biotechnology Information and used to structure the phylogenetic tree.ResultsEighteen TBVs from eight genera of five families were prevalent in China. Five genera of ticks played an important role in the transmission of TBVs in China. According to phylogenetic analysis, some new viral genotypes, such as the Dabieshan tick virus (DTV) strain detected in Liaoning Province and the JMTV strain detected in Heilongjiang Province existed in China.DiscussionTBVs were widely distributed but the specific ranges of viruses from different families still varied in China. Seven TBVs belonging to the genus Orthonairovirus of the family Nairoviridae such as Nairobi sheep disease virus (NSDV) clustered in the Xinjiang Uygur Autonomous Region (XUAR) and northeastern areas of China. All viruses of the family Phenuiviridae except Severe fever with thrombocytopenia syndrome virus (SFTSV) were novel viruses that appeared in the last few years, such as Guertu virus (GTV) and Tacheng tick virus 2 (TcTV-2). They were mainly distributed in the central plains of China. Jingmen tick virus (JMTV) was distributed in at least fourteen provinces and had been detected in more than ten species of tick such as Rhipicephalus microplus and Haemaphysalis longicornis, which had the widest distribution and the largest number of vector ticks among all TBVs. Parainfluenza virus 5 (PIV5) and Lymphatic choriomeningitis virus (LCMV) were two potential TBVs in Northeast China that could cause serious diseases in humans or animals. Ixodes persulcatus carried the highest number of TBVs, followed by Dermacentor nuttalli and H. longicornis. They could carry as many as ten TBVs. Three strains of Tick-borne encephalitis (TBEV) from Inner Mongolia Province clustered with ones from Russia, Japan and Heilongjiang Province, respectively. Several SFTSV strains from Zhejiang Province clustered with strains from Korea and Japan. Specific surveillance of dominant TBVs should be established in different areas in China.
Hospital antimicrobial stewardship: profiling the oral microbiome after exposure to COVID-19 and antibiotics
Authors: Buendia Patricia , Fernandez Krystal , Raley Castle , Rahnavard Ali , Crandall Keith A. , Castro Jose Guillermo 
Published: February 2024

IntroductionDuring the COVID-19 Delta variant surge, the CLAIRE cross-sectional study sampled saliva from 120 hospitalized patients, 116 of whom had a positive COVID-19 PCR test. Patients received antibiotics upon admission due to possible secondary bacterial infections, with patients at risk of sepsis receiving broad-spectrum antibiotics (BSA).MethodsThe saliva samples were analyzed with shotgun DNA metagenomics and respiratory RNA virome sequencing. Medical records for the period of hospitalization were obtained for all patients. Once hospitalization outcomes were known, patients were classified based on their COVID-19 disease severity and the antibiotics they received.ResultsOur study reveals that BSA regimens differentially impacted the human salivary microbiome and disease progression. 12 patients died and all of them received BSA. Significant associations were found between the composition of the COVID-19 saliva microbiome and BSA use, between SARS-CoV-2 genome coverage and severity of disease. We also found significant associations between the non-bacterial microbiome and severity of disease, with Candida albicans detected most frequently in critical patients. For patients who did not receive BSA before saliva sampling, our study suggests Staphylococcus aureus as a potential risk factor for sepsis.DiscussionOur results indicate that the course of the infection may be explained by both monitoring antibiotic treatment and profiling a patient’s salivary microbiome, establishing a compelling link between microbiome and the specific antibiotic type and timing of treatment. This approach can aid with emergency room triage and inpatient management but also requires a better understanding of and access to narrow-spectrum agents that target pathogenic bacteria.
Transcriptomic analysis using RNA sequencing and phenotypic analysis of Salmonella enterica after acid exposure for different time durations using adaptive laboratory evolution
Authors: Ghoshal Mrinalini , Bechtel Tyler D. , Gibbons John G. , McLandsborough Lynne 
Published: February 2024

IntroductionThis study is the final part of a two-part series that delves into the molecular mechanisms driving adaptive laboratory evolution (ALE) of Salmonella enterica in acid stress. The phenotypic and transcriptomic alterations in the acid-evolved lineages (EL) of Salmonella enterica serovar Enteritidis after 70 days of acid stress exposure were analyzed.Materials and methodsThe stability of phenotypic changes observed after 70 days in acetic acid was explored after stress removal using a newly developed evolutionary lineage EL5. Additionally, the impact of short-term acid stress on the previously adapted lineage EL4 was also examined.ResultsThe results indicate that the elevated antibiotic minimum inhibitory concentration (MIC) observed after exposure to acetic acid for 70 days was lost when acid stress was removed. This phenomenon was observed against human antibiotics such as meropenem, ciprofloxacin, gentamicin, and streptomycin. The MIC of meropenem in EL4 on day 70 was 0.094 mM, which dropped to 0.032 mM when removed from acetic acid stress after day 70. However, after stress reintroduction, the MIC swiftly elevated, and within 4 days, it returned to 0.094 mM. After 20 more days of adaptation in acetic acid, the meropenem MIC increased to 0.125 mM. The other human antibiotics that were tested exhibited a similar trend. The MIC of acetic acid in EL4 on day 70 was observed to be 35 mM, which remained constant even after the removal of acetic acid stress. Readaptation of EL4 in acetic acid for 20 more days caused the acetic acid MIC to increase to 37 mM. Bacterial whole genome sequencing of EL5 revealed base substitutions in several genes involved in pathogenesis, such as the phoQ and wzc genes. Transcriptomic analysis of EL5 revealed upregulation of virulence, drug resistance, toxin-antitoxin, and iron metabolism genes. Unstable Salmonella small colony variants (SSCV) of S. Enteritidis were also observed in EL5 as compared to the wild-type unevolved S. Enteritidis.DiscussionThis study presents a comprehensive understanding of the evolution of the phenotypic, genomic, and transcriptomic changes in S. Enteritidis due to prolonged acid exposure through ALE.