bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prediksi Pola Tata Letak Produk untuk Strategi Penjualan Menggunakan Algoritma Apriori
Authors: Amri Muhammad Al , Nurwati Nurwati , Dewi Muthia 
Published: July 2021

Abstract: Data mining is a term used to describe the discovery of knowledge in databases. Data mining is a process that uses statistical techniques, mathematics, artificial intelligence, and maching learning to extract and identify useful information and related knowledge from large databases. One of the data mining methods is the association rule by analyzing a sales transaction at the 212 mart latsitarda Kisaran store. Sales transaction analysis aims to design a sales strategy. To design an effective sales or marketing strategy. In addition, the use of this analytical technique can also find changing patterns of products that are often purchased together or products that tend to appear together in a transaction from transaction data which are generally large in size. Store 212 mart latsitarda Kisaran can then use this pattern to place frequently purchased products into a contiguous area. Designing product displays in catalogs, designing product package sales, and so on using data mining concepts (a priori algorithm approach) so that they can analyze buyer behavior. Keywords: Data Mining; Product Layout Pattern; Apriori Algorithm Abstrak: Data Mining adalah suatu istilah yang digunakan untuk memguraikan penemuan pengetahuan didalam database. Data Mining adalah proses yang menggunakan teknik statistik, matematika, kecerdasan buatan, dan maching learning untuk mengestraksi dan mengindentifikasi informasi yang bermanfaat dan pengetahuan yang terkait dari berbagai database besar. Salah satu metode data mining adalah aturan asosiasi dengan melakukan analisis suatu transaksi penjualan pada toko 212 mart latsitarda Kisaran. Analisis transaksi penjualan bertujuan untuk merancang strategi penjualan. Untuk merancang strategi penjualan atau pemasaran yang efektif. Selain itu, penggunaaan teknik analisis ini juga dapat menemukan pola berubah produk-produk yang sering dibeli bersamaan atau produk yang cenderung muncul bersaama dalam sebuah transaksi dari data transaksi yang pada umumnya berukuran besar. Toko 212 mart latsitarda Kisaran lalu dapat menggunakan pola ini untuk menempatkan produk yang sering dibeli kedalam sebuah area yang berdekatan. Merancang tampilan produk di katalok, merancang penjualan paket produk, dan sebagainya dengan menggunakan konsep data mining (pendekatan algoritma apriori) sehingga dapat menganalisis prilaku pembeli. Kata kunci: Data Mining; Pola Tata Letak Produk; Algoritma Apriori
Waste Is the New Wealth – Recovering Resources From Poultry Wastewater for Multifunctional Microalgae Feedstock
Authors: Thoré Eli S. J. , Schoeters Floris , De Cuyper Audrey , Vleugels Rut , Noyens Isabelle , Bleyen Peter , Van Miert Sabine 
Published: July 2021

To meet the increasing demands of the growing population and to cope with the challenges of global change, both the production of biological feedstock and the recovery of recyclable natural resources play a critical role. Microalgal biomass is a promising source of renewable multifunctional feedstock, but the production is costly and requires large amounts of water. Here, we explored the potential of using wastewater as culture medium to lower the economic and environmental costs of microalgae biomass production and evaluated its valorization opportunities for animal feed production. As a proof of principle, we show that Chlorella sorokiniana can be cultivated on poultry wastewater, with a 83 and 113% increase in productivity when wastewater was first 50% diluted with tap water or standard growth medium, respectively. Wastewater sterilization before use enhanced algal growth with 36–118%, but only when wastewater was 25–50% diluted with standard medium. In contrast, it offered no additional benefits when dilutions were made with tap water or when wastewater was not diluted. At the end of the 22-days experiment, a maximum biomass of 0.8–1.9 g L−1 was reached for algae grown on wastewater. The produced biomass had a high macronutrient content, and the heavy metal content was below maximum limits for use in animal feed. Likewise, the tested pathogen groups were reduced until below safety norms for feed production after algal growth in unsterilized 50% wastewater (diluted with tap water). Overall, these findings add to our growing knowledge on the cultivation of microalgae on wastewater and its valorization opportunities, paving the way for a more sustainable use and reuse of resources.
Evaluating the Tire/Pavement Noise and Surface Texture of Low-Noise Micro-Surface Using 3D Digital Image Technology
Authors: Chen Wang , Zheng Mulian , Wang Haiyang 
Published: July 2021

As a common preventive maintenance technique for asphalt pavement, micro-surface (MS) has the advantages of waterproofing and crack sealing. However, issues such as the fact that the conventional MS generates large noise and the evaluation of the indexes of tire-road noise are relatively less studied. The traditional surface texture index cannot reveal the range and distribution of pavement surface texture, thus hindering research of low-noise MS. To study the mechanism of tire-road noise generated by MS, and propose the tire-road noise and surface texture indicators for MS. In this study, the mechanism of five low-noise MS was systematically analyzed and compared through surface texture and noise tests. Then, a three-dimensional digital texture model (3D-DTM) of MS surface texture was constructed using a series of digital image processing techniques, including grayscale identification, binary conversion, and noise reduction. The results show that optimizing the gradation, adding sound-absorbing materials, and improving the workability of construction can improve the noise reduction performance of MS, it is worth mentioning that the MS prepared with sound-absorbing materials and low-noise gradation has the greatest noise reduction effect, with a maximum reduction of 6.3 dB(A). In addition, it was also found that the 3D-DTM can well reflect the surface texture characteristics of MS. The probability of convex peak distribution (PCD) and the proportion of convex peak area (PCA) with peak heights greater than 0.25 mm (Kh ≥ 0.25), which are extracted from the 3D-DTM, can well reflect the surface texture, tire-road noise, respectively. The results show that the 3D-DTM is a promising tool to optimize the design of low-noise MS.
Determination of Vacancy Formation Energies in Binary UZr Alloys Using Special Quasirandom Structure Methods
Authors: Vizoso Daniel , Deo Chaitanya 
Published: July 2021

The use of predictive models to examine defect production and migration in metallic systems requires a thorough understanding of the energetics of defect formation and migration. In fully miscible alloys, atomistic properties will all have a range of values that are heavily dependent on local atomic configurations. In this work we have used the atomistic simulation tool Large-scale Atomic/Molecular Massively Parallel Simulator (LAMMPS) to investigate the impact of first nearest neighbor configuration on vacancy formation energies at 0 K in γ-U-Zr alloys of varying Zr concentrations. The properties of randomly generated alloy microstructures were also compared with those produced as special quasi-random structures (SQS) using the “mcsqs” code within the Alloy Theoretic Automated Toolkit. Results have confirmed that local configuration can have a significant impact on measured properties and must be considered when characterizing miscible alloy systems. Results also indicated that the generation method of the random structure (i.e., via random species assignment or a method of enforced randomness) does not result in a measurable difference in average vacancy formation energies in miscible U-Zr systems.
The Effect of Robotic Assisted Gait Training With Lokomat® on Balance Control After Stroke: Systematic Review and Meta-Analysis
Authors: Baronchelli Federica , Zucchella Chiara , Serrao Mariano , Intiso Domenico , Bartolo Michelangelo 
Published: July 2021

Introduction: Disturbances of balance control are common after stroke, affecting the quality of gait and increasing the risk of falls. Because balance and gait disorders may persist also in the chronic stage, reducing individual independence and participation, they represent primary goals of neurorehabilitation programs. For this purpose, in recent years, numerous technological devices have been developed, among which one of the most widespread is the Lokomat®, an actuated exoskeleton that guide the patient's limbs, simulating a symmetrical bilateral gait. Preliminary evidence suggests that beyond gait parameters, robotic assisted gait training may also improve balance. Therefore, the aim of this systematic review was to summarize evidence about the effectiveness of Lokomat® in improving balance in stroke patients.Methods: Randomized controlled trials published between January 1989 and August 2020, comparing Lokomat® training to conventional therapy for stroke patients, were retrieved from seven electronic databases. Balance, assessed by means of validated clinical scales, was considered as outcome measure. The Physiotherapy Evidence Database (PEDro) scale was used to evaluate the methodological quality of the studies. The study protocol was registered on PROSPERO (no. CRD42020197531).Results: After the removal of the duplicates, according to the inclusion criteria, 13 studies were selected, involving 445 subacute or chronic stroke patients. Eleven papers contributed to three meta-analyses. Favorable results for recovery of balance in stroke survivors treated with Lokomat® were shown using Timed Up and Go (pooled mean difference = −3.40, 95% CI −4.35 to −2.44; p &lt; 0.00001) and Rivermead Mobility Index as outcome measures (pooled mean difference = 0.40, 95% CI 0.26–0.55; p &lt; 0.00001). Inconclusive results were found when balance was measured by means of the Berg Balance Scale (pooled mean difference = 0.17, 95% CI −0.26 to 0.60; p = 0.44).Conclusions: Overall, most studies have shown beneficial effects of Lokomat® on balance recovery for stroke survivors, at least comparable to conventional physical therapy. However, due to the limited number of studies and their high heterogeneity, further research is needed to draw more solid and definitive conclusions.
Association Between Dietary Iron Intake and Serum Ferritin and Severe Headache or Migraine
Authors: Meng Shu-Han , Zhou Hai-Bo , Li Xin , Wang Ming-Xue , Kang Li-Xin , Fu Jin-Ming , Li Xia , Li Xue-Ting , Zhao Ya-Shuang 
Published: July 2021

Background: Dietary iron intake and serum ferritin in relation to severe headache or migraine remain largely unknown. Therefore, we investigated the associations between dietary iron intake and serum ferritin with severe headache or migraine among American adults.Methods: This cross-sectional study included 7,880 adults (≥20 years) from the National Health and Nutrition Examination Surveys (NHANES) of America from 1999 to 2004. We performed multivariable logistic regression and restricted cubic spline (RCS) regression to assess the association of dietary iron and serum ferritin with severe headache or migraine.Results: Most women aged 20–50 years consumed less dietary iron than their recommended dietary allowances. Dietary iron intake was inversely associated with severe headache or migraine in women aged 20–50 years. For women over 50 years, serum ferritin was negatively associated with severe headache or migraine. For men, there was no significant relationship between dietary iron and serum ferritin, and severe headache or migraine.Conclusions: Dietary iron intake has different effects on migraine in women of different ages, and this different effect may be due to age-related menstrual changes. Women aged 20–50 years should have a higher awareness of RDA and increase their dietary iron intake if needed, which may play an important role in preventing severe headache or migraine. Higher serum ferritin levels in women aged 50 and above may have a protective effect against migraine.
Transcranial Doppler Based Cerebrovascular Reactivity Indices in Adult Traumatic Brain Injury: A Scoping Review of Associations With Patient Oriented Outcomes
Authors: Gomez Alwyn , Froese Logan , Sainbhi Amanjyot Singh , Batson Carleen , Zeiler Frederick A. 
Published: July 2021

Background: Disruption in cerebrovascular reactivity following traumatic brain injury (TBI) is a known phenomenon that may hold prognostic value and clinical relevance. Ultimately, improved knowledge of this process and more robust means of continuous assessment may lead to advances in precision medicine following TBI. One such method is transcranial Doppler (TCD), which has been employed to evaluate cerebrovascular reactivity following injury utilizing a continuous time-series approach.Objective: The present study undertakes a scoping review of the literature on the association of continuous time-domain TCD based indices of cerebrovascular reactivity, with global functional outcomes, cerebral physiologic correlates, and imaging evidence of lesion change.Design: Multiple databases were searched from inception to November 2020 for articles relevant to the association of continuous time-domain TCD based indices of cerebrovascular reactivity with global functional outcomes, cerebral physiologic correlates, and imaging evidence of lesion change.Results: Thirty-six relevant articles were identified. There was significant evidence supporting an association with continuous time-domain TCD based indices and functional outcomes following TBI. Indices based on mean flow velocity, as measured by TCD, were most numerous while more recent studies point to systolic flow velocity-based indices encoding more prognostic utility. Physiologic parameters such as intracranial pressure, cerebral perfusion pressure, Carbon Dioxide (CO2) reactivity as well as more established indices of cerebrovascular reactivity have all been associated with these TCD based indices. The literature has been concentrated in a few centres and is further limited by the lack of multivariate analysis.Conclusions: This systematic scoping review of the literature identifies that there is a substantial body of evidence that cerebrovascular reactivity as measured by time-domain TCD based indices have prognostic utility following TBI. Indices based on mean flow velocities have the largest body of literature for their support. However, recent studies indicate that indices based on systolic flow velocities may contain the most prognostic utility and more closely follow more established measures of cerebrovascular reactivity. To a lesser extent, the literature supports some associations between these indices and cerebral physiologic parameters. These indices provide a more complete picture of the patient’s physiome following TBI and may ultimately lead to personalized and precise clinical care. Further validation in multi-institution studies is required before these indices can be widely adopted clinically.
Exploring the Relationship Between Mental Well-Being, Exercise Routines, and the Intake of Image and Performance Enhancing Drugs During the Coronavirus Disease 2019 Pandemic: A Comparison Across Sport Disciplines
Authors: Shibata Mami , Burkauskas Julius , Dores Artemisa R. , Kobayashi Kei , Yoshimura Sayaka , Simonato Pierluigi , De Luca Ilaria , Cicconcelli Dorotea , Giorgetti Valentina , Carvalho Irene P. , Barbosa Fernando , Monteiro Cristina , Murai Toshiya , Gómez-Martínez Maria A. , Demetrovics Zsolt , Ábel Krisztina Edina , Szabo Attila , Ventola Alejandra Rebeca Melero , Arroyo-Anlló Eva Maria , Santos-Labrador Ricardo M. , Griskova-Bulanova Inga , Pranckeviciene Aiste , Bersani Giuseppe , Fujiwara Hironobu , Corazza Ornella 
Published: July 2021

Introduction: Physical distancing under the coronavirus disease 2019 (COVID-19) pandemic had a significant impact on lifestyles, including exercise routines. In this study, we examined the relationship between mental health and addictive behaviors, such as excessive exercise and the use of image and performance enhancing drugs (IPEDs) across 12 sport disciplines.Materials and methods: A large cross-sectional sample of the adult population (N = 2,295) was surveyed. The mean age was 33.09 (SD = 11.40). The number of male participants was 668 (30.0%). The use of IPEDs was assessed in conjunction with psychometric measures such as the Exercise Addiction Inventory (EAI) and the Appearance Anxiety Inventory (AAI). The participants were grouped into activity group (AG) and non-activity group (NAG) according to the presence or absence of their exercise habits. The results were compared between these groups, as well as across sport disciplines, while taking into account the relationship between different psychological measures and IPEDs consumption.Results: The frequency of IPEDs use was higher among AG (34.6%) than NAG (14.6%), although AG participants reported less history of addictions (7.1%) than NAG (11.8%). The logistic regression analysis revealed that scores equal to or above cutoff points, in both the EAI and AAI, predicted the IPEDs use. Regarding the differences across the various sport disciplines, those who were involved in practicing Weight Lifting and Cross Fit were found to be more at risk of excessive exercising and more inclined to use a wide range of IPEDs.Conclusions: Although exercise could help to increase well-being and prevent addictions during the COVID-19 pandemic, our results show that those in the AG are particularly vulnerable to excessive IPEDs use. Sport disciplines associated with higher EAI and AAI scores have also shown a higher tendency to excessive IPEDs use. Furthermore, the factor of having above the cutoff scores in EAI or AAI in each sport could indicate larger IPEDs consumption regardless of the discipline. In light of the current findings, it is necessary to better define the “non-excessive” levels of exercise in various sport disciplines and an adequate intake of IPEDs to ensure the safety and well-being of people during a pandemic.
Application of the Chinese Version of the Pittsburgh Sleep Quality Index in People Living With HIV: Preliminary Reliability and Validity
Authors: Yan Dong-Qin , Huang Yun-Xiang , Chen Xi , Wang Min , Li Jie , Luo Dan 
Published: July 2021

Background: The Pittsburgh Sleep Quality Index (PSQI) has been a widely used instrument measuring sleep quality among people living with HIV (PLWH) in China while its psychometric properties have yet to be examined in this population. We aimed to assess the reliability and validity of the Chinese version of PSQI in PLWH and identify factors associated with sleep quality.Methods: This study was based on a longitudinal study of newly diagnosed PLWH, among whom the PSQI was used to measure sleep quality 5 years after HIV diagnosis (n = 386). To evaluate internal consistency, Cronbach's alpha and corrected item-total correlation were calculated. To assess construct validity, Pearson's correlation coefficients were calculated between PSQI scores and depression, anxiety, stress, and health-related quality of life (HRQoL). Known group validity was evaluated by comparing PSQI scores between participants with probable depression and those without. Binary logistic regression was conducted to identify factors associated with sleep disturbances.Results: The internal consistency Cronbach's alpha for the Chinese version of PSQI in PLWH was 0.713. Construct validity was established by significant relationships between PSQI and depression, anxiety, stress, and HRQoL. The PSQI scores in participants with probable depression were significantly higher than those without, indicating good known-group validity. Sleep disturbances were associated with less income, higher CD4 counts, antiretroviral treatment (ART) initiation, exercise, depression, and higher stress levels.Conclusions: The Chinese version of PSQI is feasible for use among Chinese PLWH. Over a third of PLWH reported sleep disturbances. More attention should be given to individuals with less income and on ART. Intervention aimed at improving mental health or facilitating exercise may improve sleep quality.
Exploring the Relationship Between Professional Identity and Psychological Resilience of Organ Donation Coordinators in Zhejiang Province (China)
Authors: Shu Wan , Xing Bing-yu , Ruan Wei-xiu , Gao Li-yan , Miao Qun-fang 
Published: July 2021

Background: An organ donation coordinator plays an important role in the process of organ donation and transplant. Therefore, investigating and analyzing the current situation in organ donation and examining the correlation between professional identity and psychological resilience of human organ donation coordinator, provides a reference for promoting stable development of organ donation.Methods: A total of 48 coordinators of organ donation in Zhejiang Province were recruited for the study by using the method of convenience sampling. The psychological resilience scale and professional identity questionnaire were used to collect data.Results: The results revealed that the total average score of the professional identity of organ donation coordinators was 34.92 ± 8.57. Compared with the median professional identity score of 34.50, the professional identity of the coordinator in this survey was at a moderate level. The total average score of psychological resilience was 64.44 ± 11.91. There was a significant positive correlation between the professional identity of the coordinator and the total score of psychological resilience (r = 0.641, P &lt; 0.01).Conclusion: The professional identity and psychological resilience of the coordinators in Zhejiang Province were found to be in the middle level and the higher the psychological resilience score, the stronger the professional identity of the coordinators. It is important to improve the level of psychological resilience among organ donation coordinators to enhance their professional identity.
Impact of Covid-19 on Indian Stock Market
Authors: Bhat Rajani B , Suresh V N 
Published: July 2021

The corona virus outbreak, which originated in China, has infected nearly 8, 75,000 people. Its spread has left businesses around the world counting costs. The corona virus is going global, and it could bring the world economy to a standstill. COVID-19 that began in the depths of China’s Hubei province is spreading rapidly, persuading the World Health Organisation to declare it as a pandemic. There are now significant outbreaks from South Korea to Italy and Iran, from America to Britain. The ongoing spread of the new corona virus has become one of the biggest threats to the global economy and financial markets. Even though, time and again our Indian economists have assured the country that Indian economy stands relatively insulated from the global value chain, but being integrated into world economy, there has to be some impact. This was reflected in the Nifty when the stock market took a great plunge down in last week of February, 2020. The present study is an attempt to examine the impact of COVID-19 on Indian Stock market. The study takes into consideration a time period of four months, from December 1st, 2019 to March 31st, 2020. The study focuses on the Nifty and sectoral indices of Nifty along with India Volatility Index. Tools used for the study involves correlation, regression, ANOVA, variance analysis and moving averages. The study concludes with the statement that volatility is higher in medium run than in short run and also there is significant impact of COVID-19 on Indian stock market.