bluuebunny/crossref_metadata_2025 huggingface dataset:
Analisis dan Perancangan Sistem Informasi Manajemen Karyawan di PT. Regista Bunga Wijaya Cabang Surabaya
Authors: Herlambang Teguh
Published: September 2023

In the Human Resources Development (HRD) division at PT Regista Bunga Wijaya Surabaya branch, one of the main targets is the fulfillment of personnel. In meeting this target, HRD always opens job vacancies. To manage the number of employees who apply and select employees who are in accordance with the needs and criteria of the client, it takes a long time if you have to look at job applications one by one. In addition, to manage a Temporary Appointment Work Agreement, the employee salary component, and the current employee turn over are still conventionally recorded using Microsoft Excel. So that a system is needed that facilitates, speeds up and facilitates the process of employee accession and human resource management. The system needed is in the form of an Employee Management Information System to meet the needs of PT Regista Bunga Wijaya Surabaya branch, especially for the HRD division. In this study, a method of collecting system needs was used using a combination of techniques in the form of document analysis, brainstorming, and also prototyping. Information System The results of this study in the form of an employee management information system application design which includes employee fulfilment, employee data, and employee turn over at PT Regista Bunga Wijaya Surabaya branch can be used as a reference for PT Regista Bunga Wijaya Surabaya branch to be implemented into a system used as a support for company operations.
Application of carbon-based adsorbents for landfill leachate treatment
Authors: Mishra Rahul , Kumar Sunil
Published: September 2023

Currently, the most popular method for getting rid of municipal solid waste is sanitary landfilling; however, this method has a significant disadvantage in that it produces leachates that are extremely contaminated. The high concentration of heavy metals, halogenated hydrocarbons, poisonous gases, inorganic salts, and organic chemicals are present in landfill leachate, which are frequently highly polluted, poses a major risk to human health and the environment. Therefore, it needs to be treated before being released directly into receiving waters. Selection of leachate treatment techniques can be a difficult task. The efficacy of carbon-based adsorbents such as activated carbon, biochar, graphene oxide, and carbon nanotubes in treating various pollutants, such as organic pollutants, personal care items, pharmaceuticals, and heavy metal ions in leachate is also reported. There are several research directions that might be explored in the relatively carbon-based adsorbents to remediate landfill leachate. When complete life-cycle costs are considered, carbon-based adsorbents are substantially more economical than they originally look because they are produced at a cheaper cost compared to conventional adsorbents. An initial examination of the prevailing synthesis methods reveals a significantly greater environmental impact in comparison to conventional adsorbents, especially in terms of energy use and global warming potential. If environmental effects are considered, the study should transform toward the usage of greener processes and chemicals for carbon-based adsorbents. The objective of this chapter is to explain the utilization of carbon-based adsorbents for landfill leachate treatment.
Landfill leachate-induced ultraviolet quenching substances
Authors: Mandal Pubali , Dubey Brajesh Kumar
Published: September 2023

Landfill leachate is a complex wastewater with a wide range of pollutants and requires proper treatment before discharge. Landfill leachate is either treated on-site by biological and membrane processes or treated transported to nearby wastewater treatment plant for co-treatment with municipal wastewater. Recalcitrant organics, especially for stabilized leachate will not be removed or degraded by conventional biological processes. Some of these pollutants may absorb ultraviolet (UV) lights and decrease the UV transmittance. The UV quenching substances (UVQS) can be broadly classified as hydrophobic substances (humic acid + fulvic acid) and hydrophilic substances. The UVQS may interfere with the UV disinfection process and make it less effective. It may also protect any co-pollutant from being degraded by UV. Therefore, understanding of the treatment methods capable of removing UVQS is necessary. The aim of this chapter is to present overview of different treatment technologies available to remove/degrade UVQS. The composition of solid waste responsible for the formation of UVQS, characteristics, chemical composition, distribution and problems of UVQS has also been discussed.
Energy and resource recovery from landfill leachate
Authors: Singh Rickwinder , Upadhyay Apoorva , Talwar Prakhar , Verma Nikita , Vivekanand Vivekanand
Published: September 2023

Landfill leachate contains a significant proportion of pollutants, organic matter, and heavy metals which negatively affect the surrounding ecosystem, groundwater, and soil. Leachate has the potential to generate energy and produce other valuable products such as biogas, bio-hydrogen, and microalgae for biofuel production. However, there is a need to explore various processes such as anaerobic digestion (AD), microbial processes for fuel cells, cultivation of microalgae, and extraction of heavy metals. On the basis of this, these processes have been explored to examine various valuable products that can be recovered from leachate and challenges related to these processes are also discussed. AD and microbial fuel cells are processes that tend to produce energy sources such as biomethane and electricity, respectively. Similarly, the cultivation of microalgae in leachate is the main source to capture carbon dioxide gas to a great extent. These processes aim to recover energy and other chemical products further can be developed in the future socially and economically.
Efficient and economical landfill leachate management with phytoremediation
Authors: Bhagwat Anjali , Ojha Chandra Shekhar Prasad
Published: September 2023

Landfill and plant species have a symbiotic relation; nutrient-rich leachate supports plant growth, whereas plants absorb heavy metals from landfills and accumulate them in different parts, reducing leaching of heavy metals. Thus, the current study aims to understand how nutrient-rich leachate obtained from the Gazipur landfill supports the growth of Indian marigold (Tagetes erecta L.) by comparing the growth observed in stem height, leaf width, leaf length, root length, and chlorophyll content when treated with raw leachate, inorganic fertilizers and under controlled conditions. Furthermore, marigold was used for remediating landfill soil under three treatment conditions. It was observed that the order of growth in marigold follows control > leachate > inorganic fertilizers. However, the chlorophyll content follows the order leachate > inorganic fertilizer > control; thus, plants are more productive when treatments are applied. When the number of flowers is compared, maximum number of flowers is produced in the presence of leachate. When total metal removal is considered, maximum remediation observed is of the order leachate > control > inorganic fertilizers; this can be attributed to the root length which is the least in the case of inorganic fertilizers. Furthermore, it was also observed that heavy metal accumulation is least in marigold flowers, thus application of leachate makes the use of marigold flowers safer in comparison with other treatments. Finally, the economic potential of the three treatments is evaluated with refund values of 5.702, 5.165, and 5.09 for marigolds grown in leachate, with fertilizers and under control conditions, respectively. The chapter will be a value-add for policymakers in ensuring sustainable development by minimizing the production of chemical, toxic, and hazardous waste.
Predicting rainfall response to climate change and uncertainty analysis: Introducing a novel downscaling CMIP6 models technique based on the stacking ensemble machine learning
Authors: Anaraki Mahdi Valikhan , Kadkhodazadeh Mojtaba , Morshed-Bozorgdel Amirreza , Farzin Saeed
Published: September 2023

This study proposes a novel downscaling technique based on stacking ensemble machine learning (SEML) to predict rainfall under climate change. The SEML consists of two levels. Rainfall time series predicted by level 1 algorithms MLR, MNLR, MARS, M5, RF, LSBoost, LSSVM-GS, and a novel hybrid algorithm namely LSSVM-RUN) are used as inputs to the level 2 machine learning algorithm (MARS and LSSVM_RUN). Then, meta-algorithms of SEML predict rainfall based on eight predicted rainfall in level 1. This approach boosts prediction accuracy by utilizing the strong points of different machine learning (ML) algorithms. Results showed that MARS and LSSVM-RUN could be employed to improve the modeling results as meta-algorithms (level 2 of the SEML). Three global climate models (GCMs) in the historical period (1985–2014) and three SSP scenarios in the future period (2021–2050) were considered for downscaling and predicting rainfall at Lake Urmia and Sefidrood basins. Using meta-algorithms, the prediction results showed that rainfall in all scenarios and stations decreased between 0.02 and 0.20% (except Takab station in model CanESM5 scenarios). Hence, the proposed stacking ensemble ML has the potential for modeling and predicting precipitation with good accuracy and high reliability.
Cleft Lip and Palate in Children: Classification and Treatment
Authors: Budihardja Andi Setiawan , Widyarman Armelia Sari , Jeddy
Published: September 2023

Orofacial clefts are one of the most common head and neck birth defects
worldwide, affecting children of all socioeconomic and cultural backgrounds. Orofacial
clefts refer to a cleft lip and palate, a complex trait caused by multiple genetic and
environmental factors. Children with orofacial clefts commonly have various issues,
such as learning difficulties, speech and language disorders, middle ear abnormalities,
psychosocial problems, and dental abnormalities. Due to the complex nature of a cleft
lip/palate, the treatment involves interdisciplinary teams, including plastic surgeons,
pediatric dentists, maxillofacial surgeons, orthodontists, and speech therapists. Dental
and orthodontic procedures are required at an early age (9 months to one year of age) to
aid normal facial and dental development and prepare the patient for surgery later. The
main treatment goals in cleft lip and palate cases are to maintain the natural anatomical
form of the lips and palate to ensure everyday speech without hypernasality. An
additional goal is to ensure normal psychosocial development.
Child Abuse and Neglect
Authors: Chaugule Vishwas , Patil Vishwas , Shetty Bhagyashree
Published: September 2023

Child abuse and neglect are synonymous with the current term “Child
maltreatment”, a multifactorial problem affecting the health and well-being of large
numbers of children worldwide. “Child Abuse and Neglect” has been discussed from
public health and a professional perspective, focusing on global problems. It narrates
the consequences of being exposed to this form of brutality on the minds and bodies of
the child, their detection and measures being taken to prevent these types of violence.
Also, the extent of the problems, the risk factors, the consequences of child abuse, and
what is being done to avoid child abuse and neglect have also been discussed.
Diyabetik Hastalarda Postür, Denge ve Yürümenin Değerlendirilmesi
Authors: PEKÖZ Mehmet Taylan , SARICA Yakup
Published: September 2023

Giriş: Diabetes mellitus yaş ve cinsiyet ayırımı gözetmeksizin görülebilen kronik metabolik bir hastalıktır. En sık görülen komplikasyonlarından biri polinöropati (PNP) olup denge, postür ve yürüme bozukluklarına yol açabilmektedir. Diyabetik hastalarda nöropati varlığının postür, denge ve yürüme bozukluklarında olası rolünün belirlenmesi amaçlanmıştır.
Yöntem: Çalışmaya Çukurova Üniversitesi Tıp Fakültesi Dahiliye-Endokrinoloji Anabilim Dalı polikliniğinde diabetes mellitus tanısı ile izlenen olgular alınmıştır. Bu olgularda yürüme ve denge statik postürografi (göz açık, göz kapalı, baş sağa, baş sola ve tandem Romberg) ve Tinetti Denge ve Yürüme Skalası ile değerlendirilmiş olup eşlik eden otonomik ve periferik sinir tutulumunu belirlemek için elektronörografi (ENG) ve sempatik deri yanıtlarına (SDY) bakılmıştır. Elde edilen veriler kontrol grubu ile karşılaştırılmıştır.
Bulgular: Diabetes mellitus tanılı toplam 29 hasta ve 16 sağlıklı kontrol grubu çalışmaya dahil edilmiş olup ortalama yaş sırası ile 49,9±7,1 ve 47,7±6,6 yıldır. Diyabetiklerde median ve ulnar sinirlerde duyusal iletim hızları ve peroneal ve ulnar sinirlerde ise motor iletim hızları normal kotrollere göre yavaşlamış bulunmuştur. Bu değerler istatistiksel olarak anlamlıdır (p<0.001 ve p<0.003). Klinik tablo ile birlikte yorumlanacak olur ise diyabetiklerin ENG çalışması sonucunda 14’ünde PNP saptanmış, 15’inde ise polinöropatiyi telkin eden bulgular gözlenmemiştir. SDY bakıldığında diyabetiklerde 3 olguda ayakta, 2 olguda ise hem ayak hem de elde SDY’ları elde edilememiştir. Böylece 5 olguda (5/29; % 17,2) otonomik (sudomotor) lif tutuluşu görülmüştür. Bu 5 olguda ENG verileriyle polinöropati tanısı da konmuştur. Tinetti yürüme, denge ve total skor istatistiksel olarak anlamlı olacak şekilde normal kontrol olgularından daha düşük olarak elde edilmiştir (p<0.001). Postürografik çalışma platform üzerinde başın sağ veya sola dönük olduğu pozisyonda ve tandem Romberg testi ile diyabetiklerin normallere göre daha fazla salındığı ve istatistik olarak bu farkın anlamlı olduğu görülmüştür (sırası ile p=0,002; p=0,03 ve p=0,041).
Sonuç: Çalışmamız diyabetik hastalarda nöropati varlığı ile doğrudan ilişkili olmakla birlikte polinöropatisi olan ve olmayan olgularda postüral stabilite ve dengenin kontrol grubuna göre bozuk olduğunu ortaya koymuştur.
Fast and Slow Thinking in Narrative Recovery: Pluralistic Trauma Processing during Covid-19
Authors: Smith Elayne
Published: September 2023

How can writing about the collective cultural trauma of the Covid-19 pandemic help in an autobiographical illness narrative about coming to terms with pre-existing Dissociative Identity Disorder? This disorder is characterised by inner plurality, autobiographical amnesia, and difficulties in discerning past from present times. Thinking about how to recall let alone organise such a life story might appear, at first, to be an impossible challenge. Might slow-thinking (coined by Kahneman 2011) through critical reading of comparisons between personal experiences and collective cultural experiences of trauma be a resolution? This lived experience account shares how the pandemic triggered fast-thinking dissociative symptoms but in so doing, gave me the story pieces to start forming a narrative about my earlier childhood trauma. Through slow, comparative readings of this personal experience with classic literary and collective cultural experiences of historical traumas, a co-produced narrative emerges. As a result, instead of the therapeutic creative writing modes that are gaining much traction in third sector mental health programmes and wellbeing forums (such as therapy journals, expressive writing or drama role play, see for instance Sampson 2007), the focus here is on how auto-ethnographic self-therapy can also provide new directions for narrative recovery in pluralistic trauma processing.
Enhancing Kerosene Selectivity of Fischer-Tropsch Synthesis by Periodical Pore Drainage Via Hydrogenolysis
Authors: Unglaub Carsten , Jess Andreas
Published: September 2023

Accumulation of wax inside the catalyst pores during transient cobalt-catalyzed Fischer-Tropsch synthesis (FTS) leads to unfavorable product distribution and low activity by imposing internal mass transfer limitations. The condensation of paraffin severely changes the apparent product stream that actually leaves the reactor before the catalyst pores are filled completely and the steady state is reached. Thus, the product distribution of the transient FTS is less complex than expected in comparison to the steady-state FTS and increasingly consists of hydrocarbons (HCs) with an average chain length in the range of kerosene (C9-C17). So, in order to prevent FTS from reaching a steady state, the pores are drained periodically by hydrogenolysis (HGL). The alternating HGL is realized by a switch from syngas (H2, CO) to pure hydrogen at a reaction temperature in the range of 210°C to 240°C. The alternating process leads to an improvement in kerosene selectivity of 48%, 37%, and 28% at 210°C, 220°C and 240°C, respectively. Furthermore, the influence of temperature on the hydrogenolysis of long-chain HCs was experimentally investigated. It was found that temperature affects methane selectivity severely. A high hydrogenolysis temperature is favorable as this leads to a severely decreased overall methane selectivity and, thus to a higher production rate of alkanes within the carbon number range of 9 to 17.
Oral Versus Intravenous Anti-CMV Preemptive Strategies in Allogeneic Stem Cell Transplant Patients with CMV Reactivation: Experience from the National Center of Bone Marrow Transplantation, Tunis, Tunisia
Authors: Kanoun Rimmel yosra , Ben Abdeljelil Nour , Hsasna Roua , Jaied Rabeb , Mekni Sabrine , Frigui Siwar , Torjemane Lamia , Belloumi Dorra , Turki Ines , Ouerghi Rihab , Ben yaiche Insaf , Achour Wafa , Ladeb Saloua , Ben Othman Tarek
Published: September 2023

Cytomegalovirus (CMV) infection is a common and severe complication following allogeneic stem cell transplantation (ASCT) and requires effective preemptive antiviral therapy. Both oral and intravenous (IV) antiviral agents effectively reduce CMV viral load and achieve viral clearance. Studies comparing oral and IV anti-CMV preemptive treatment in ASCT patients with CMV reactivation showed a potential difference in treatment response and safety profiles between the two administration routes. We retrospectively compared the efficacy and safety of oral with intravenous (IV) anti-CMV preemptive therapy in ASCT recipients with CMV reactivation. A descriptive retrospective study included patients who received their first ASCT between January 2018 and June 2022. The monitoring oral load was assessed weekly using a quantitative polymerase chain reaction in plasma. Fifty-five patients developing 72 CMV reactivations were included. The median age was 29 years (range, 6-50). The main underlying diseases were acute leukemia and aplastic anemia. Before ASCT, 96% of patients were at high risk of CMV reactivation. CMV reactivations were observed at a median of 43 days (range, 16-270) post-ASCT. The median viral load at CMV reactivation was 248 copies/mL (range, 150-4800). The first-line preemptive treatment was oral in 51 (71%) of the episodes (Valganciclovir, n = 40; Leflunomide, n = 11) and IV in 21 (29%) of the episodes (Foscarnet, n = 16; Ganciclovir, n = 5). Response to first-line therapy was not statistically significant between the two groups (74% vs 76%, p = 0.88). Thirteen (25%) and 5 (24%) episodes needed second or subsequent-line therapy in the oral and IV groups, respectively. The hematological toxicity was significantly higher in the oral group (61% vs 29%, p = 0.01). The mean duration of hospital stay per patient in the oral and IV groups was 7 days and 49 days (p < 10-3), respectively. More non-CMV documented infections were observed in the IV group (38% vs 4%, p = 0.001). After a median follow-up of 18 months (range, 2-55), the 2-year-overall survival, event-free survival and cumulative incidence of non-relapse mortality were 85%, 75% and 6%, respectively. Our results showed that the oral preemptive therapy for CMV reactivations after ASCT was as effective as IV formulations and needed less hospital stay time. However, it is associated with more hematological toxicity.
Short- to Long-Term Effects of Virtual Reality on Motor Skill Learning in Children With Cerebral Palsy: Systematic Review and Meta-Analysis
Authors: Kilcioglu Seyma , Schiltz Benoît , Araneda Rodrigo , Bleyenheuft Yannick
Published: September 2023

Background

Many studies have started integrating virtual reality (VR) into neurorehabilitation for children with cerebral palsy (CP). The results of the effects of VR on motor skill learning, including the short- to long-term results of relevant studies, must be pooled in a generic framework.

Objective

This systematic review and meta-analysis aimed to investigate the short- to long-term effects of therapies including VR on motor skill learning in children with CP.

Methods

Two examiners followed the inclusion and exclusion criteria of the “Participant, Intervention, Control, and Outcome” framework. Randomized controlled trials (RCTs) and non-RCTs were considered if they compared VR-included interventions with control groups on motor functions and daily life activities in children with CP. PubMed, ScienceDirect, Embase, and IEEE Xplore databases were searched. The modified Downs and Black assessment was used to assess the methodological quality of the included studies. Meta-analyses and subgroup analyses for RCTs were conducted whenever possible.

Results

A total of 7 RCTs, 2 non-RCTs, and 258 children with CP were included. The priority focus of 78% (7/9) of the studies was upper limb functions. There was a significant short-term effect of adding VR to conventional therapies on upper limb functions when compared with conventional therapies (P=.04; standardized mean difference [SMD]=0.39, 95% CI 0.01-0.76). The overall medium- to long-term effects showed a trend toward favoring the VR group, although the difference was not statistically significant (P=.06; SMD=0.37, 95% CI −0.02 to 0.77). For balance (P=.06; SMD=1.04, 95% CI −0.04 to 2.12), gross motor functions (P=.30; SMD=2.85, 95% CI −2.57 to 8.28), and daily life activities outcomes (P=.21; SMD=0.29, 95% CI −0.16 to 0.74), the overall effect in the short term also showed a trend toward favoring the VR group, but these results were not statistically significant.

Conclusions

VR seems to have additional benefits for motor skill learning in children with CP. Studies with follow-up outcomes of VR training focusing on balance and gross motor functions in patients with CP were quite limited. Future research on balance and gross motor function outcomes should target particularly long-term results of therapies including VR on motor skill learning.

Trial Registration

PROSPERO International Prospective Register of Systematic Reviews CRD42021227734; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021227734
Construction of an Emotional Lexicon of Patients With Breast Cancer: Development and Sentiment Analysis
Authors: Li Chaixiu , Fu Jiaqi , Lai Jie , Sun Lijun , Zhou Chunlan , Li Wenji , Jian Biao , Deng Shisi , Zhang Yujie , Guo Zihan , Liu Yusheng , Zhou Yanni , Xie Shihui , Hou Mingyue , Wang Ru , Chen Qinjie , Wu Yanni
Published: September 2023

Background

The innovative method of sentiment analysis based on an emotional lexicon shows prominent advantages in capturing emotional information, such as individual attitudes, experiences, and needs, which provides a new perspective and method for emotion recognition and management for patients with breast cancer (BC). However, at present, sentiment analysis in the field of BC is limited, and there is no emotional lexicon for this field. Therefore, it is necessary to construct an emotional lexicon that conforms to the characteristics of patients with BC so as to provide a new tool for accurate identification and analysis of the patients’ emotions and a new method for their personalized emotion management.

Objective

This study aimed to construct an emotional lexicon of patients with BC.

Methods

Emotional words were obtained by merging the words in 2 general sentiment lexicons, the Chinese Linguistic Inquiry and Word Count (C-LIWC) and HowNet, and the words in text corpora acquired from patients with BC via Weibo, semistructured interviews, and expressive writing. The lexicon was constructed using manual annotation and classification under the guidance of Russell’s valence-arousal space. Ekman’s basic emotional categories, Lazarus’ cognitive appraisal theory of emotion, and a qualitative text analysis based on the text corpora of patients with BC were combined to determine the fine-grained emotional categories of the lexicon we constructed. Precision, recall, and the F1-score were used to evaluate the lexicon’s performance.

Results

The text corpora collected from patients in different stages of BC included 150 written materials, 17 interviews, and 6689 original posts and comments from Weibo, with a total of 1,923,593 Chinese characters. The emotional lexicon of patients with BC contained 9357 words and covered 8 fine-grained emotional categories: joy, anger, sadness, fear, disgust, surprise, somatic symptoms, and BC terminology. Experimental results showed that precision, recall, and the F1-score of positive emotional words were 98.42%, 99.73%, and 99.07%, respectively, and those of negative emotional words were 99.73%, 98.38%, and 99.05%, respectively, which all significantly outperformed the C-LIWC and HowNet.

Conclusions

The emotional lexicon with fine-grained emotional categories conforms to the characteristics of patients with BC. Its performance related to identifying and classifying domain-specific emotional words in BC is better compared to the C-LIWC and HowNet. This lexicon not only provides a new tool for sentiment analysis in the field of BC but also provides a new perspective for recognizing the specific emotional state and needs of patients with BC and formulating tailored emotional management plans.
Examining the feasibility, acceptability and preliminary efficacy of an Immersive Virtual Reality-Assisted Lower Limb Strength Training for Knee Osteoarthritis (VRiKnee): A Mixed-Method Pilot Randomized Controlled Trial (Preprint)
Authors: Lo Hermione Hin Man , Ng Marques Shek Nam , Fong Hugo Pak Yiu , Lai Harmony Hoi-Ki , Wang Bo , Wong Samuel Yeung-shan , Sit Regina Wing-Shan
Published: September 2023

BACKGROUND

.

OBJECTIVE

To study the feasibility, acceptability and preliminary efficacy of an immersive virtual reality (VRiKnee) assisted lower limbs exercise for knee osteoarthritis (OA).

METHODS

A convergent parallel mixed-method study was conducted in 30 participants with knee OA. After 1:1 randomization, the VRiKnee group (n=15) were assigned to perform repetitive concentric quadriceps and isometric vastus medialis oblique exercise in an immersive environment using head-mount display (HMD) for 12 weeks. The control group (n=15) completed the same exercises without VRiKnee. VRiKnee participants were interviewed at week 12 to study their acceptability and user experience. Quantitative data included feasibility outcomes such as recruitment, dropout and exercise adherence rates, and effectiveness outcomes such as the Numeral Rating Scale, Western Ontario and McMaster University Osteoarthritis Index (100 points) pain and function subscales and objective physical activity measured by metabolic equivalents (METs) using ActivPAL accelerometer. Qualitative data were analyzed by thematic analysis, followed by integration with quantitative data using joint displays.

RESULTS

The recruitment rate was 100%, with enrollment of 30 participants in 7.57 weeks. The median age was 63.5 (IQR 61.8-66.3) years, with 76.7% female. The dropout rate was 13.3% in VRiKnee and 6.7% in control. Median exercise adherence for VRiKnee and control groups was 77.22% and 62.08%, respectively, with adherence reduction over the study period. No statistically significant differences were observed in primary and secondary outcomes, though positive trends were observed in pain and function. Cybersickness was reported by 5 participants (33.3%) in the VRiKnee group. In the qualitative analysis, 4 themes, 11 subthemes and 16 quotes were generated, identifying facilitators and barriers with practical suggestions to enhance the usability of VRiKnee.

CONCLUSIONS

VRiKnee demonstrated feasibility, acceptability and potential efficacy in managing knee OA. Future trials of larger sample sizes and better VR designs will confirm its role in clinical practice.

CLINICALTRIAL

Chinese Clinical Trial Registry (CHiCTR2100046313)
Audio-Visual CNN using Transfer Learning for TV Commercial Break Detection
Authors: Pudya Wardana Muhammad Zha'farudin , Wibowo Moh. Edi
Published: September 2023

The TV commercial detection problem is a hard challenge due to the variety of programs and TV channels. The usage of deep learning methods to solve this problem has shown good results. However, it takes a long time with many training epochs to get high accuracy.    This research uses transfer learning techniques to reduce training time and limits the number of training epochs to 20. From video data, the audio feature is extracted with Mel-spectrogram representation, and the visual features are picked from a video frame. The datasets were gathered by recording programs from various TV channels in Indonesia. Pre-trained CNN models such as MobileNetV2, InceptionV3, and DenseNet169 are re-trained and are used to detect commercials at the shot level. We do post-processing to cluster the shots into segments of commercials and non-commercials.    The best result is shown by Audio-Visual CNN using transfer learning with an accuracy of 93.26% with only 20 training epochs. It is faster and better than the CNN model without using transfer learning with an accuracy of 88.17% and 77 training epochs. The result by adding post-processing increases the accuracy of Audio-Visual CNN using transfer learning to 96.42%.
Smart GreenGrocer: Automatic Vegetable Type Classification Using the CNN Algorithm
Authors: Wijaya Raden Bagus Muhammad AdryanPutra Adhy , Putri Delfia Nur Anrianti , Fudholi Dzikri Rahadian
Published: September 2023

In the food industry, separating vegetables is done by visually trained professionals. However, because it takes plenty of time to sort a large number of different types of vegetables, human errors might arise at any time, and using human resources is not always effective. Thus, automation is needed to minimize process time and errors. Computer vision helps reduce the need for human resources by automatizing the classification. Vegetables come in various colors and shapes; thus, vegetable classification becomes a challenging multiclass classification due to intraspecies variety and interspecies similarity of these main distinguishing characteristics. Consequently, much research is made to automatically discover effective methods to group each type of vegetable using computers. To answer this challenge, we proposed a solution utilizing deep learning with a Convolutional Neural Network (CNN) to perform multi-label classification on some types of vegetables. We experimented with the modification of batch size and optimizer type. In the training process, the learning rate is 0.01, and it adapts on arrival in the local minimum for result optimization. This classification is performed on 15 types of vegetables and produces 98.1% accuracy on testing data with 25 minutes and 45 seconds of training time.
The Effect of Data Augmentation in Deep Learning with Drone Object Detection
Authors: Alin Ariel Yonatan , Kusrini Kusrini , Yuana Kumara Ari
Published: September 2023

Drone object detection is one of the main applications of image processing technology and pattern recognition using deep learning. However, the limited drone image data that can be accessed for training detection algorithms is a challenge in the development of drone object detection technology. Therefore, many studies have been conducted to increase the amount of drone image data using data augmentation techniques. This study aims to evaluate the effect of data augmentation on deep learning accuracy in drone object detection using the YOLOv5 algorithm. The methods used in this research include collecting drone image data, augmenting data with rotate, crop and cutout, training the YOLOv5 algorithm with and without data augmentation, as well as testing and analyzing training results.The results of the study show that data augmentation can't improve the accuracy of the YOLOv5 algorithm in drone object detection. Evidenced by the decreasing value of precision and mAP@0.5 and the relatively constant value of recall and F-1 score. This is caused by too much augmentation can cause loss of important information in the data and improper augmentation can cause noise or distortion in the data.
Analisis Keselamatan dan Kesehatan Kerja pada Kegiatan Praktikum menggunakan Metode HIRA
Authors: Sulistiyowati Rina , Herdiman Lobes
Published: September 2023

Praktikum adalah suatu kegiatan pembelajaran yang dilakukan di laboratorium untuk memahami kondisi sebenarnya dari materi kuliah atau pelajaran yang telah disampaikan oleh Dosen maupun Guru. Praktikum Perancangan Teknik Industri II (PPTI II) adalah salah satu kegiatan praktikum yang dilaksanakan di Program Studi Teknik Industri Fakultas Teknik UNS yang melaksanakan kegiatan manufaktur dan mempunyai bernagai risiko kecelakaan kerja. Untuk megetahui tingkat risiko kecelakaan kerja pada PPTI II maka dilakukan analisis keselamatan dan kesehatan kerja (K3) dengan melakukan Identifikasi dan penilaian risiko kerja. Penelitian ini menggunakan metode Hazard Identification Risk Assessment (HIRA) dalam mengidentifikasi risiko dan melakukan penilaian risiko melalui pengamatankegiatan praktikum dan wawancara terhadap 10 orang asisten dan 12 praktikan. Berdasarkan hasil identifikasi dan penilaian risiko diperoleh hasil bahwa nilai risiko paling tinggi adalah kebisingan sebesar 67% dilanjutkan dengan luka tergores sebesar 22% pada risiko level tinggi dan 38% pada level menengah.
Pengembangan Buku Panduan Teknik Karakterisasi Material : X-ray Diffractometer (XRD) Panalytical Xpert3 Powder
Authors: Muttaqin Rodhotul
Published: September 2023

Penelitian ini bertujuan untuk mengembangkan Buku Panduan Teknik Karakterisasi Material: X-Ray Diffractometer (XRD) di Laboratorium Fisika Universitas Negeri Semarang. Buku panduan yang dikembangkan merupakan salah satu solusi bagi mahasiswa maupun peneliti dalam memahami karakteristik material dengan perangkat X-Ray Diffractometer (XRD). Materi dasar yang disajikan dalam buku panduan berisi tentang prinsip dasar difraksi sinar-X, struktur kristal, aplikasi difraksi sinar-x. Bagian khusus dari buku panduan yang dikembangkan adalah membahas teknik karakterisasi material dengan alat XRD Merk Malvern Panalytical type Xpert3 Powder. Penelitian ini dilakukan di Laboratorium Fisika Universitas Negeri Semarang. Penelitian riset dan pengembangan (Research and Development) yang dilakukan ini menggunakan metode ADDIE. Metode ADDIE (Analysis, Design, Development, Implementation, and Evaluation) adalah suatu pendekatan dalam desain instruksional yang digunakan untuk mengembangkan program pembelajaran yang efektif. Metode pengumpulan data yang digunakan dalam penelitian ini adalah dengan wawancara dan angket untuk mengetahui validitas dan kelayakan buku panduan yang dikembangkan. Hasil penelitian menunjukkan (1) Proses pengembangan Buku Panduan telah mengikuti 5 langkah Model ADDIE seperti Analisis (Analyze), Desain (Design), Pengembangan (Development), Implementasi (Implemetation), dan Evaluasi (Evaluation). (2) Hasil uji validasi ahli isi buku termasuk dalam kriteria valid dengan rata-rata skor 78,1. (3) Hasil uji kelayakan yang dilakukan termasuk dalam kriteria layak dengan rata-rata skor 81.
SMR (Smart Medical Room) Berbasis IoT (Internet of Things) Pengendali Multi-variabel Suhu dan Kelembaban Udara Secara Manual dan Otomatis Ruang Medis
Authors: Guntoro Kasto Wijoyo Teguh
Published: September 2023

Kualitas suhu dan kelembaban udara di lingkungan rumah sakit perlu adanya adaptasi teknologi yang mendukung kualitas udara ruangan. IoT (Internet of Things) dapat digunakan untuk memantau dan mengendalikan kualitas udara ruangan medis secara manual atau otomatis. IoT yang digunakan menggunakan protokol MQTT (Message Queuing Telemetry Transport). Sistem cerdas pengendali otomatis tersebut menggunakan FLC (Fuzzy Logic Control), FAC (Fuzzy Adaptive Control), dan Kontrol MIMO (Multi Input Multi Output) yang terintegrasi menjadi satu. SMR (Smart Medical Room) adalah sistem kendali cerdas berbasis IoT untuk mengendalikan suhu dan kelembaban udara ruang medis. Sistem kendali otomatis tersebut membantu operator dalam memantau suhu dan kelembaban udara agar sesuai standar baku mutu kualitas udara ruang medis. Hasil penelitian menunjukkan bahwa pemantuan dan pengendalian ruangan dapat dilakukan dengan menggunakan operator atau otomatis. Hasil pengukuran suhu dan kelembaban udara rata-rata ruang ICU adalah 23,39 oC dan 54,72%. Hasil pengukuran suhu dan kelembaban udara rata-rata ruang UGD adalah 21,87 oC dan 49,76%.  Hasil pengukuran suhu dan kelembaban udara rata-rata ruang operasi adalah 24,16 oC dan 52,7%. Hasil pengukuran suhu dan kelembaban udara rata-rata ruang bersalin adalah 24,52 oC dan 57,13%.  Hasil pengendalian suhu dan kelembaban udara secara otomatis menunjukkan hasil sesuai standar baku mutu suhu dan kelembaban ruang medis.Tujuan penelitian ini yaitu membuat sistem kendali manual dan otomatis menggunakan kecerdasan buatan dengan sistem kendali multi-variabel pada ruang medis berbasis IoT sehingga mendapatkan kelembaban dan suhu udara sesuai standar baku mutu.
RANCANG BANGUN SMART SINGLE PHASE MOTOR REWINDING TEST RESAULT UNTUK PRAKTIKUM PERAWATAN DAN PERBAIKAN MESIN LISTRIK
Authors: Fitriyanto Agus , Fuad Muchamad Chaninul
Published: September 2023

Perbaikan motor induksi 1 fasa merupakan salah satu materi praktikum yang ada di Laboratorium Elektromekanik. Praktikum tersebut merupakan bagian dari mata kuliah Perawatan dan Perbaikan Mesin Listrik. Setelah dilakukan perbaikan maka motor induksi tersebut dilakukan pengujian dengan berbagai parameter disesuaikan dengan spesifikasi motor yang terdapat pada nameplate nya. Parameter pengujian tersebut diantaranya adalah tegangan kerja (V), arus nominal (I), arus starting motor (I), factor daya (Cos φ),  kecepatan putar (rpm) dan menentukan arah putar motor (cw-ccw). Dari beberapa parameter pengujian tersebut menggunakan alat ukur yang berbeda-beda sehingga  memerlukan waktu yang lebih  dalam melakukan pengujian.Pada penelitian ini dirancang dan dibangun alat  pengujian motor induksi 1 fasa yang di dalamnya sudah dapat mengukur dan menguji semua parameter tersebut. Dari beberapa alat ukur diintegrasikan dengan mikrokontroller yang mengolah data untuk dicetak. Hasil pengujian dengan alat ini bisa langsung dicetak dengan menggunakan thermal printer yang udah include di dalamnya, sehingga bisa membandingkan hasil lilit ulang sudah sesuai apa belum dengan spesifikasi motor yang ada pada nameplate. Dengan penelitian ini diharapkan proses pengujian motor induksi 1 fasa pada praktikum perbaikan motor induksi dapat dilakukan dengan praktis
Uji Aktivitas Antiplatelet Bromelain Secara In Vitro Menggunakan Spektrofotometer UV-Vis
Authors: Wijayanti Lilis , Suryani Suryani , Wibowo Rachmadi
Published: September 2023

Salah satu penyebab beberapa penyakit kardiovaskuler adalah adanya sumbatan pada pembuluh kapiler darah yang disebabkan agregasi platelet dan reaksi aterotrombosis. Akan tetapi, obat-obatan antiplatelet masih memiliki efek samping. Enzim Bromelain dilaporkan memiliki aktivitas antiplatelet yang potensial. Oleh karena itu, penelitian ini bertujuan untuk mengetahui aktivitas enzim Bromelain dalam menghambat agregasi platelet secara in vitro. Aktivitas antiplatelet ditentukan dengan mengukur persen agregasi platelet dalam Platelet Rich Plasma (PRP) darah manusia setelah diinduksi dengan Adenosin Difosfat (ADP) menggunakan Spektrofotometer Uv-Vis. Penelitian ini menggunakan akuades sebagai kontrol negatif, asetosal sebagai kontrol positif, dan enzim Bromelain hasil dialisis sebagai sampel uji. Berdasarkan penelitian ini dapat disimpulkan bahwa enzim Bromelain hasil dialisis dapat menghambat agregasi platelet yang diinduksi ADP yaitu sebesar 76,59%.
Metode Pengeringan untuk Meningkatkan Kualitas Bubuk Bawang Putih (Allium sativum)
Authors: Nurwanto Nurwanto
Published: September 2023

Bawang putih termasuk bumbu yang umum digunakan dalam kuliner Indonesia. Hal ini menjadikan kebutuhan akan bawang putih yang alami dan siap pakai menjadi penting. Penelitian ini bertujuan mengembangkan metode pengeringan untuk meningkatkan kualitas produk bubuk bawang putih. Dalam penelitian ini dilakukan pengeringan bawang putih dengan menggunakan dua metode, yaitu tray drying dan vacuum drying, dilanjutkan dengan penepungan menggunakan blender. Data yang diperoleh dianalisa dengan program SPSS menggunakan fitur uji deskriptif. Hasil analisa kadar air rata-rata metode vacuum drying 5.70% lebih rendah dari metode tray drying 8.52%. Uji organoleptik diperoleh skor 6,03 untuk aroma dan 6,57 untuk warna pada metode vacuum drying, sedangkan pada tray drying 1,57 baik warna maupun aroma. Hasil analisa organoleptik menyatakan panelis lebih suka aroma dan warna metode vacuum drying. Dari data kadar air dan hasil uji organoleptik menunjukkan bahwa metode vacuum drying lebih baik daripada tray drying.
Analisis Kualitas Air Sumur di Sekitar Kampus Universitas Islam Indonesia
Authors: Mujiyanto Mujiyanto , Muhammad Afivudien
Published: September 2023

Air merupakan kebutuhan fundamental yang diperlukan oleh tubuh manusia. Hampir sebagian besar penyusun tubuh manusia terdiri atas cairan. Berbagai metabolisme di dalam tubuh manusia memerlukan air. Selain itu, kebutuhan akan air bersih mutlak bagi kehidupan manusia untuk menjaga kesehatan tubuh, termasuk sebagai sarana ibadah seperti untuk bersuci. Penelitian ini bertujuan untuk menganalisis kualitas air sumur di sekitar kampus Universitas Islam Indonesia berdasarkan parameter fisik, kimiawi dan biologi. Metode yang digunakan yaitu true experiment di laboratorium. Air sumur dianalisis secara fisik berupa warna, bau, rasa; secara kimiawi dianalisis pH dengan pH meter, kadar logam besi (Fe) dan mangan (Mn) dianalisis dengan spektrofotometri serapan atom (SSA), serta pemeriksaan adanya kandungan bakteri Escherichia coli dengan media TBX. Hasil yang didapatkan dari analisis air dengan berbagai parameter, masih dalam batas normal menurut nilai standar baku mutu kesehatan lingkungan dan persyaratan kesehatan air berdasarkan Permenkes RI nomor 32 tahun 2017. Sepuluh sampel menunjukkan hasil tidak berasa, tidak berbau, jernih, dengan rentang pH antara 6,59-7,25, kadar logam Fe pada rentang nilai 0,1534-0,6164 mg/L, kadar logam Mn <0,0001 mg/L, serta tidak ditemukan adanya aktivitas bakteri E.coli.
Prakiraan Beban Listrik Menggunakan Metode Jaringan Saraf Tiruan dengan Data yang Terbatas
Authors: Elang Bayu Trikora  , Sasongko Pramonohadi  , M. Isnaeni Bambang Setyonegoro
Published: September 2023

Seiring dengan perkembangan zaman, prakiraan kebutuhan beban listrik menjadi salah satu hal vital dalam perencanaan pembangkitan dan distribusi. Terdapat berbagai macam cara untuk melakukan prakiraan kebutuhan energi listrik. Salah satunya adalah dengan menggunakan metode jaringan saraf tiruan. Metode ini meniru kemampuan otak manusia untuk menerima suatu masukan lalu melakukan pemrosesan di antara neuron yang ada di dalamnya untuk menghasilkan informasi berdasarkan proses yang terjadi di dalam neuron. Tujuan penelitian ini adalah untuk melakukan prakiraan beban listrik di Kabupaten Jayawijaya menggunakan bantuan metode jaringan saraf. Penelitian ini membangun suatu arsitektur jaringan saraf yang sesuai dengan data yang diperoleh dari PT PLN (Persero) UP3 Wamena untuk menemukan model arsitektur yang sesuai dan memiliki tingkat akurasi yang tinggi. Karena data yang dimiliki untuk melakukan prakiraan beban listrik terbatas, dilakukan metode interpolasi berdasarkan data asli yang telah dimiliki untuk menambah jumlah data yang sudah ada. Dengan cara ini, data yang dapat digunakan sebagai masukan akan lebih banyak. Hal ini membuat model yang dibangun dapat melakukan prakiraan kebutuhan beban dengan lebih akurat. Data yang telah diperbanyak ini digunakan sebagai masukan data dalam model jaringan saraf tiruan. Setelah melakukan percobaan berulang-ulang menggunakan jaringan saraf, diperoleh hasil bahwa model yang sesuai dengan data adalah jaringan feed-forward long short term memory (LSTM). Dengan menggunakan model ini, dapat diperoleh error yang sesuai dengan standar suatu model untuk melakukan prakiraan, yaitu sebesar 0,04% dengan sembilan epoch.
A Case Study on the Role Models in Chinese Senior High School English Textbooks—The Case of the Textbooks Published by BNUP in 2019
Authors: Tao Xinran
Published: September 2023

Moral education has always been an important mission in Chinese education. English textbooks, as one of the vital elements in English teaching, are the main vehicle for transmitting English disciplinary knowledge, and the essential medium for teachers’ teaching and students’ learning. In fact, the values are often not directly presented in textbooks but are “hidden” in vehicles such as figures and storylines constructed by complex multimodal symbols (Feng, 2015). Therefore, it is essential to explore the images of figures and their values in Chinese English textbooks. This study takes one version of Chinese senior high school English textbooks published by BNUP in 2019 as the research objects. Based on the data collection and thorough analysis, the results show that Chinese senior high school English textbooks published by BNUP emphasize the moral education of students, and the selection of role models is relatively reasonable. Nevertheless, several shortcomings still exist, such as the unbalanced selection of role models in terms of gender and age.
A Review of Researches on Return Migration
Authors: Zhang Cheng , Liang Yanan , Meng Fancheng
Published: September 2023

Driven by factors related to economic development, return migration has become a topic of increasing academic interest. There are several mainstream theoretical interpretations of the phenomenon of return migration, and the existing literature focuses on the causes of return, employment choice and return effects. Through literature review, it is found that both economic factors and non-economic factors will have an impact on the decision to return. Compared with non-migrant group, returned migrants are more likely to engage in self-employed. Returned migrants may bring back advanced ideas and technologies, which will have a positive impact on local economic and social development, but the driving effect on employment is limited. In developing countries, “entrepreneurship” means vulnerability. Entrepreneurship is a choice made when all other labor market opportunities are not satisfactory or individuals have no employment opportunities, which belongs to necessity-based entrepreneurship. This paper discusses the findings based on a summary of the review and provides the prospects for future research.