bluuebunny/crossref_metadata_2025 huggingface dataset:
Building Belonging into the System
Authors: Herman Kristin , Gill Michelle
Published: November 2023

This design case documents how a K-12 district took steps to systemically support virtual student wellness and belonging. Plans for course design to support social-emotional-academic learning (SEAL) competencies, increase perception of belonging, and create safe, predictable learning environments characteristic of a trauma-informed approach to teaching and learning are shared. The assumption virtual learners are not looking to experience belonging and cannot be successful unless they already have strong SEAL skills is challenged. Rather, the positioning of SEAL competencies as learning objectives rather than necessary prerequisites to access online learning proved to contribute to more equitable learning opportunities.
EFEKTIVITAS HIDROLISAT PEPTIDA UNTUK PENGOBATAN INFEKSI Aeromonas hydrophila PADA IKAN NILA Oreochromis niloticus
Authors: Rasid Herawati , Wahjuningrum Dinamella
Published: November 2023

Penyakit yang menyerang ikan nila salah satunya adalah penyakit motile aeromonad septicaemia (MAS). Hidrolisat peptida merupakan alternatif untuk mengendalikan infeksi A. hydrophila penyebab penyakit MAS. Tujuan penelitian ini adalah mengetahui dosis optimal penggunaan hidrolisat peptida untuk pengobatan infeksi A. hydrophila pada ikan nila. Penelitian terdiri dari lima perlakuan dan tiga ulangan yaitu K- (tanpa injeksi A. hydrophila dan tanpa hidrolisat peptida), HP 0% (injeksi A. hydrophila dan tanpa hidrolisat peptida), HP 50% (injeksi A. hydrophila dan hidrolisat peptida 50 µL + 50 µL PBS), HP 100% (injeksi A. hydrophila dan hidrolisat peptida 100 µL), dan OTC (injeksi A. hydrophila dan oxytetracyclin 50 ppm). Uji tantang dilakukan pada awal pemeliharaan dengan menginjeksikan bakteri A. hydrophila sebanyak 0.1 mL per ekor ikan dengan kepadatan 106 CFU mL-1. Pengobatan dengan hidrolisat peptida dan oxytetracyclin sebanyak 0.1 mL per ekor ikan dilakukan pada hari ke tiga setelah uji tantang. Hasil penelitian menunjukkan bahwa pemberian hidrolisat peptida dengan dosis 50% efektif untuk mengobati ikan nila yang terinfeksi bakteri A. hydrophila dengan nilai kelangsungan hidup sebesar 70%.
An economic comparison of performance and profitability between two meat types birds: Brown cockerel and Sonali
Authors: M. C. Sumy, , M. M. Ahsan , , M. D ,Gupta,
Published: November 2023

The study was conducted to compare the production and profitability of Brown cockerel and Sonali for meat purposes. A total of 42 poultry farms from Savar Upazilla in Dhaka district were randomly selected for the study. The data were collected from a structured questionnaire about these two types of birds at eight weeks of age. The finding of the study revealed that the FCR of Brown cockerel (2.49±0.024) was significantly lower than Sonali (2.77±0.101). The production cost per bird was found almost similar between Brown cockerel and Sonali. But the total return was significantly higher (p<0.05) in Brown cockerel compared to Sonali. Benefit cost ratio was also higher in Brown cockerel (1.22) than Sonali (1.10) in the study area.
NIST Phish Scale user guide
Authors: Dawkins Shanee , Jacobs Jody
Published: November 2023

The phishing cyber threat exploits vulnerabilities in the U.S. and around the world across private and public sectors. Embedded phishing awareness training programs, where simulated phishing emails are sent to employees, are designed to prepare employees in these organizations to combat real-world phishing scenarios. Cybersecurity and phishing awareness training implementers and practitioners use the results of these programs, in part, to assess the security risk of their organization. The NIST Phish Scale is a method created for cybersecurity and phishing awareness training implementers to rate an email’s human phishing detection difficulty as part of their cybersecurity awareness and phishing training programs. This User Guide outlines the Phish Scale in its entirety while providing instructional steps on how to apply it to phishing emails. Further, appendices include 1) worksheets to assist training implementers in applying the Phish Scale and 2) detailed
information regarding email properties and associated research in the literature.
Summary Report of the Technical Meeting on International Network of Nuclear Reaction Data Centres
Authors: Otuka Naohiko , Saxena Alok
Published: November 2023

This report summarizes the IAEA Technical Meeting on the International Network of Nuclear Reaction Data Centres held at the Global Centre for Nuclear Energy Partnership, Bahadurgarh, India from 1 to 4 May 2018. The meeting was attended by 20 participants representing 13 cooperative Centres from eight Member States (China, Hungary, India, Japan, Korea, Russia, Ukraine and USA) and two International Organisations (NEA, IAEA) as well as a participant from Kazakhstan. A summary of the meeting is given in this report along with the conclusions and actions.
Seguimiento neurológico de niños de alto riesgo
Authors: Huanca P. David J.
Published: November 2023

Los niños de alto riesgo tienen algunos antecedentes perinatales que los hacen susceptibles de presentar algunos problemas durante su crecimiento y desarrollo. Se propone una guía para el seguimiento neurológico de estos niños durante los cinco primeros años de vida.
Initial experience with Retzius-sparing robot-assisted radical prostatectomy compared to the conventional method: is it a suitable option for robotic prostatectomy beginners?
Authors: Kang Su Hwan
Published: November 2023

Background: Retzius-sparing robot-assisted radical prostatectomy (rsRARP) is a surgical procedure that can minimize the resection of surrounding prostate tissue by enabling access through the anterior surface of the Douglas pouch. We reported our initial experiences with rsRARP compared to conventional robot-assisted radical prostatectomy (RARP).Methods: Retrospective data were collected from March 2019 to June 2022, including 69 patients who underwent robotic radical prostatectomy for localized prostate cancer. The operations were performed at a single center, and we alternated between the two methods. Perioperative characteristics and oncologic and functional outcomes were analyzed.Results: In total, 35 patients underwent RARP and 34 patients underwent rsRARP. The preoperative characteristics of the patients were similar. Oncologic and functional parameters were analyzed postoperatively. Except for early recovery of urinary incontinence (immediate, 1 month, 3 months, 6 months: p<0.001, p=0.002, p=0.004, and p=0.014, respectively), there were no significant differences between the two groups. We also analyzed trends in operation time and oncologic and functional outcomes according to the progression of rsRARP cases.Conclusions: rsRARP has the major advantage of enabling an early recovery from urinary incontinence after surgery, and it is also a good surgical approach that shows oncologically similar results to the conventional approach. It is also highly reproducible and can be recommended to surgeons new to robotic radical prostatectomy.
Guerra i postguerra en els versos de Vicent Andrés Estellés
Authors: Monferrer-Palmer Aina
Published: November 2023

La hipòtesi que intentarem demostrar en aquest article és la següent: al llarg de les diferents etapes creatives d’Estellés, la Guerra Civil i la postguerra s’albiren, tot canviant de forma i de to a mesura que l’experiència del poeta pren distància i empoderament com a veu dels valencians. En les següents línies, resseguirem les traces d’aquests esdeveniments històrics en els versos i en les proses memorístiques del poeta, amb especial esment en la idea de guerra o de conflicte bèl·lic. Tot i que us trobeu davant d’una anàlisi qualitativa de crítica literària en un context historicopolític determinat, el punt de partida metodològic d’aquest estudi es basa en tècniques de lingüística de corpus. Resseguirem aspectes de la biografia del poeta relacionats amb el conflicte bèl·lic i amb la seua representació estilística, poemes que homenatgen activistes concrets i personatges prototípics, tot posat en relació amb els estudis recents sobre l’obra d’Estellés.
Joan Gomila, 'L’obra folklòrica d’Isidor Macabich', Eivissa, Miquel Costa Editor, 2022, 149 p.
Authors: Escandell Dari
Published: November 2023

Ressenya sobre el llibre de Joan Gomila, L’obra folklòrica d’Isidor Macabich, Eivissa, Miquel Costa Editor, 2022, 149 p., ISBN: 978-84-92951-57-4
Rafael Roca (ed.), «Ser invisible. Testimonis literaris i documentals femenins» Catarroja / Barcelona, Afers, 2023, 342 p.
Authors: Vives Martínez Mireia
Published: November 2023

Ressenya sobre el llibre de Rafael Roca (ed.), Ser invisible. Testimonis literaris i documentals femenins, Catarroja / Barcelona, Afers, 2023, 342 p., ISBN 978-84-18618-44-4.
Vicent Pastor i Briones, «“Pierres de Provença” (1650): Estudi i edició crítica», Alacant / Barcelona, Institut Interuniversitari de Filologia Valenciana / Publicacions de l’Abadia de Montserrat, 2020, 319 p.
Authors: Arronis Llopis Carme
Published: November 2023

Ressenya sobre el llibre Vicent Pastor i Briones, Pierres de Provença (1650): Estudi i edició crítica, Alacant / Barcelona, Institut Interuniversitari de Filologia Valenciana / Publicacions de l’Abadia de Montserrat, col·lecció «Biblioteca Sanchis Guarner», 2020, 319 p., ISBN: 978-84-9191-140-1.
Nanobody repertoire generated against the spike protein of ancestral SARS-CoV-2 remains efficacious against the rapidly evolving virus
Authors: Ketaren Natalia E , Mast Fred D , Fridy Peter C , Olivier Jean Paul , Sanyal Tanmoy , Sali Andrej , Chait Brian T , Rout Michael P , Aitchison John D
Published: November 2023

To date, all major modes of monoclonal antibody therapy targeting SARS-CoV-2 have lost significant efficacy against the latest circulating variants. As SARS-CoV-2 omicron sublineages account for over 90% of COVID-19 infections, evasion of immune responses generated by vaccination or exposure to previous variants poses a significant challenge. A compelling new therapeutic strategy against SARS-CoV-2 is that of single-domain antibodies, termed nanobodies, which address certain limitations of monoclonal antibodies. Here, we demonstrate that our high-affinity nanobody repertoire, generated against wild-type SARS-CoV-2 spike protein (Mast et al., 2021), remains effective against variants of concern, including omicron BA.4/BA.5; a subset is predicted to counter resistance in emerging XBB and BQ.1.1 sublineages. Furthermore, we reveal the synergistic potential of nanobody cocktails in neutralizing emerging variants. Our study highlights the power of nanobody technology as a versatile therapeutic and diagnostic tool to combat rapidly evolving infectious diseases such as SARS-CoV-2.
Distractor effects in decision making depends on individual’s style of integrating choice attributes
Authors: Wong Jing Jun , Bongioanni Alessandro , Rushworth Matthew F S , Chau Bolton K H
Published: November 2023

It is widely agreed that people make irrational decisions in the presence of irrelevant distractor options. However, there is little consensus on whether decision making is facilitated or impaired by the presence of a highly rewarding distractor or whether distraction effect operates at the level of options’ component attributes rather than at the level of their overall value. To reconcile different claims, we argue that it is important to incorporate consideration of the diversity of people’s ways of decision making. We focus on a recent debate over whether people combine choice attribute in an additive or multiplicative way. Employing a multi-laboratory dataset investigating the same decision making paradigm, we demonstrated that people used a mix of both approaches and the extent to which approach was used varied across individuals. Critically, we identified that this variability was correlated with the effect of distractor on decision making. Individuals who tended to use a multiplicative approach, and hence focused on overall value, showed a positive distractor effect. In contrast, in individuals who tended to use an additive approach, driven by component attributes, the opposite negative distractor effect (divisive normalisation) was prominent. These findings suggest that distractor effects can operate at the level of overall choice values and concur with recent behavioural and neuroscience findings that multiple distractor effects co-exist.
Modulation of alpha oscillations by attention is predicted by hemispheric asymmetry of subcortical regions
Authors: Ghafari Tara , Mazzetti Cecilia , Garner Kelly , Gutteling Tjerk , Jensen Ole
Published: November 2023

Evidence suggests that subcortical structures play a role in high-level cognitive functions such as the allocation of spatial attention. While there is abundant evidence in humans for posterior alpha band oscillations being modulated by spatial attention, little is known about how subcortical regions contribute to these oscillatory modulations, particularly under varying conditions of cognitive challenge. In this study, we combined MEG and structural MRI data to investigate the role of subcortical structures in controlling the allocation of attentional resources by employing a cued spatial attention paradigm with varying levels of perceptual load. We asked whether hemispheric lateralization of volumetric measures of the thalamus and basal ganglia predicted the hemispheric modulation of alpha-band power. Lateral asymmetry of the globus pallidus, caudate nucleus, and thalamus predicted attention-related modulations of posterior alpha oscillations. When the perceptual load was applied to the target and the distractor was salient caudate nucleus asymmetry predicted alpha-band modulations. Globus Pallidus was predictive of alpha-band modulations when either the target had a high load, or the distractor was salient, but not both. Finally, the asymmetry of the thalamus predicted alpha band modulation when neither component of the task was perceptually demanding. In addition to delivering new insight into the subcortical circuity controlling alpha oscillations with spatial attention, our finding might also have clinical applications. We provide a framework that could be followed for detecting how structural changes in subcortical regions that are associated with neurological disorders can be reflected in the modulation of oscillatory brain activity.
osl-dynamics, a toolbox for modeling fast dynamic brain activity
Authors: Gohil Chetan , Huang Rukuang , Roberts Evan , van Es Mats WJ , Quinn Andrew J , Vidaurre Diego , Woolrich Mark W
Published: November 2023

Neural activity contains rich spatiotemporal structure that corresponds to cognition. This includes oscillatory bursting and dynamic activity that span across networks of brain regions, all of which can occur on timescales of tens of milliseconds. While these processes can be accessed through brain recordings and imaging, modeling them presents methodological challenges due to their fast and transient nature. Furthermore, the exact timing and duration of interesting cognitive events are often a priori unknown. Here, we present the OHBA Software Library Dynamics Toolbox (osl-dynamics), a Python-based package that can identify and describe recurrent dynamics in functional neuroimaging data on timescales as fast as tens of milliseconds. At its core are machine learning generative models that are able to adapt to the data and learn the timing, as well as the spatial and spectral characteristics, of brain activity with few assumptions. osl-dynamics incorporates state-of-the-art approaches that can be, and have been, used to elucidate brain dynamics in a wide range of data types, including magneto/electroencephalography, functional magnetic resonance imaging, invasive local field potential recordings, and electrocorticography. It also provides novel summary measures of brain dynamics that can be used to inform our understanding of cognition, behavior, and disease. We hope osl-dynamics will further our understanding of brain function, through its ability to enhance the modeling of fast dynamic processes.
osl-dynamics: A toolbox for modelling fast dynamic brain activity
Authors: Gohil C. , Huang R. , Roberts E. , van Es M.W.J. , Quinn A.J. , Vidaurre D. , Woolrich M.W.
Published: November 2023

Neural activity contains rich spatio-temporal structure that corresponds to cognition. This includes oscillatory bursting and dynamic activity that span across networks of brain regions, all of which can occur on timescales of a tens of milliseconds. While these processes can be accessed through brain recordings and imaging, modelling them presents methodological challenges due to their fast and transient nature. Furthermore, the exact timing and duration of interesting cognitive events is often a priori unknown. Here we present the OHBA Software Library Dynamics Toolbox (osl-dynamics), a Python-based package that can identify and describe recurrent dynamics in functional neuroimaging data on timescales as fast as tens of milliseconds. At its core are machine learning generative models that are able to adapt to the data and learn the timing, as well as the spatial and spectral characteristics, of brain activity with few assumptions. osl-dynamics incorporates state-of-the-art approaches that can be, and have been, used to elucidate brain dynamics in a wide range of data types, including magneto/electroencephalography, functional magnetic resonance imaging, invasive local field potential recordings and electrocorticography. It also provides novel summary measures of brain dynamics that can be used to inform our understanding of cognition, behaviour and disease. We hope osl-dynamics will further our understanding of brain function, through its ability to enhance the modelling of fast dynamic processes.An open-source toolbox for identify and describing brain dynamics in neuroimaging data on fast timescales.Includes visualisation and quantification of oscillatory bursting and network dynamics.Provides novel summary measures and group analysis tools of brain dynamics that can be used to inform our understanding of cognition, behaviour and disease.Implemented in Python and makes use of TensorFlow.Includes comprehensive documentation and tutorials.
Chronic Intermittent Hypoxia reveals role of the Postinspiratory Complex in swallow pattern generation
Authors: Huff Alyssa , Karlen-Amarante Marlusa , Oliveira Luiz Marcelo , Ramirez Jan Marino
Published: November 2023

Obstructive sleep apnea (OSA) is a prevalent sleep-related breathing disorder that results in multiple bouts of intermittent hypoxia. OSA has many neurologic and systemic comorbidities including dysphagia, or disordered swallow and discoordination with breathing. However, the mechanism in which chronic intermittent hypoxia (CIH) causes dysphagia is unknown. Recently we showed the Postinspiratory complex (PiCo) acts as an interface between the swallow pattern generator (SPG) and the inspiratory rhythm generator, the preBötzinger Complex, to regulate proper swallow-breathing coordination (A. D. Huff et al., 2023). PiCo is characterized by interneurons co-expressing transporters for glutamate (Vglut2) and acetylcholine (ChAT). Here we show that optogenetic stimulation of ChATcre:Ai32, Vglut2cre:Ai32, and ChATcre:Vglut2FlpO:ChR2 mice exposed to CIH does not alter swallow-breathing coordination, but unexpectedly the generation of swallow motor pattern was significantly disturbed. This suggests, glutamatergic-cholinergic neurons in PiCo are not only critical for the gating of postinspiratory and swallow activity, but also play important roles in the generation of swallow motor pattern. Our study also suggests that swallow disruption, as seen in OSA involves central nervous mechanisms interfering with the generation of the swallow pattern and laryngeal activation. These findings are crucial for understanding the mechanisms underlying dysphagia in OSA and other breathing and neurological disorders.
Neural interactions in the human frontal cortex dissociate reward and punishment learning
Authors: Combrisson Etienne , Basanisi Ruggero , Gueguen Maelle CM , Rheims Sylvain , Kahane Philippe , Bastin Julien , Brovelli Andrea
Published: November 2023

How human prefrontal and insular regions interact while maximizing rewards and minimizing punishments is unknown. Capitalizing on human intracranial recordings, we demonstrate that the functional specificity toward reward or punishment learning is better disentangled by interactions compared to local representations. Prefrontal and insular cortices display non-selective neural populations to rewards and punishments. Non-selective responses, however, give rise to context-specific interareal interactions. We identify a reward subsystem with redundant interactions between the orbitofrontal and ventromedial prefrontal cortices, with a driving role of the latter. In addition, we find a punishment subsystem with redundant interactions between the insular and dorsolateral cortices, with a driving role of the insula. Finally, switching between reward and punishment learning is mediated by synergistic interactions between the two subsystems. These results provide a unifying explanation of distributed cortical representations and interactions supporting reward and punishment learning.
Investigation of time series-based genre popularity features for box office success prediction
Authors: Shahid Muzammil Hussain , Islam Muhammad Arshad
Published: November 2023

Predicting the profitability of movies at the early phase of production can be helpful to support the decision to invest in movies however, due to the limited information at this stage it is a challenging task to predict the movie’s profitability. This study proposes genre popularity features using time series prediction. We argue that a movie can produce better box office returns if its genre’s popularity is high at the time of release. The novel genre popularity features are proposed in terms of budget, revenue, frequency, success, and return on investment (ROI). The proposed features couple the predicted genre popularity with release time, in order to train the machine learning classifiers. The experimentation shows that the Gradient Boosting classifier gained a significant improvement using proposed features and achieved an accuracy of more than 92.4%, i.e., 35.7% better than an existing state of the art study considering a multi-class problem.
Semi-2DCAE: a semi-supervision 2D-CNN AutoEncoder model for feature representation and classification of encrypted traffic
Authors: Cui Jun , Bai Longkun , Li Guangxu , Lin Zhigui , Zeng Penggao
Published: November 2023

Traffic classification is essential in network-related areas such as network management, monitoring, and security. As the proportion of encrypted internet traffic rises, the accuracy of port-based and DPI-based traffic classification methods has declined. The methods based on machine learning and deep learning have effectively improved the accuracy of traffic classification, but they still suffer from inadequate extraction of traffic structure features and poor feature representativeness. This article proposes a model called Semi-supervision 2-Dimensional Convolution AutoEncoder (Semi-2DCAE). The model extracts the spatial structure features in the original network traffic by 2-dimensional convolution neural network (2D-CNN) and uses the autoencoder structure to downscale the data so that different traffic features are represented as spectral lines in different intervals of a one-dimensional standard coordinate system, which we call FlowSpectrum. In this article, the PRuLe activation function is added to the model to ensure the stability of the training process. We use the ISCX-VPN2016 dataset to test the classification effect of FlowSpectrum model. The experimental results show that the proposed model can characterize the encrypted traffic features in a one-dimensional coordinate system and classify Non-VPN encrypted traffic with an accuracy of up to 99.2%, which is about 7% better than the state-of-the-art solution, and VPN encrypted traffic with an accuracy of 98.3%, which is about 2% better than the state-of-the-art solution.
Impact analysis of moisture stress on growth and yield of cotton using DSSAT-CROPGRO-cotton model under semi-arid climate
Authors: Kumar Rotash , Mishra Sudhir Kumar , Singh Kulvir , Al-Ashkar Ibrahim , Iqbal Muhammad Aamir , Muzamil Muhammad Noor , Habib ur Rahman Muhammad , El Sabagh Ayman
Published: November 2023

Adequate soil moisture around the root zone of the crops is essential for optimal plant growth and productivity throughout the crop season, whereas excessive as well as deficient moisture is usually detrimental. A field experiment was conducted on cotton (Gossipium hirsuttum) with three water regimes (viz. well-watered (control); rainfed after one post-sowing irrigation (1-POSI) and rainfed after two post-sowing irrigations (2-POSI)) in main plots and application of eight osmoprotectants in sub plots of Split plot design to quantify the loss of seed cotton yield (SCY) under high and mild moisture stress. The DSSAT-CROPGRO-cotton model was calibrated to validate the response of cotton crop to water stress. Results elucidated that in comparison of well watered (control) crop, 1-POSI and 2-POSI reduced plant height by 13.5–28.4% and lower leaf area index (LAI) by 21.6–37.6%. Pooled analysis revealed that SCY under control was higher by 1,127 kg ha−1over 1-POSI and 597 kg ha−1than 2-POSI. The DSSAT-CROPGRO-cotton model fairly simulated the cotton yield as evidenced by good accuracy (d-stat ≥ 0.92) along with lower root mean square error (RMSE) of ≤183.2 kg ha−1; mean absolute percent error (MAPE) ≤6.5% under different irrigation levels. Similarly, simulated and observed biomass also exhibited good agreement with ≥0.98 d-stat; ≤533.7 kg ha−1RMSE; and ≤4.6% MAPE. The model accurately simulated the periodical LAI, biomass and soil water dynamics as affected by varying water regimes in conformity with periodical observations. Both the experimental and the simulated results confirmed the decline of SCY with any degree of water stress. Thus, a well calibrated DSSAT-CROPGRO-cotton model may be successfully used for estimating the crop performance under varying hydro-climatic conditions.
A Review of Environmental Issues Due to Shifting Cultivation in Arunachal Pradesh, India
Authors: Mandal Ram Krishna , Lonchung Kiron
Published: November 2023

Since the dawn of human civilization, shifting farming, or Jhum cultivation, has been practiced. It continues to be practiced traditionally in hilly areas today. Because it causes so many issues, like soil erosion, loss of soil fertility, extinction of flora and fauna, depletion of water supplies, etc., it is a plague on human existence. The objectives ofthe study have tried to explore the adverse impacts of shifting cultivation and different causes of water pollution.Some recent studies are reviewed and research gap is identified. This study is descriptive by nature based basically on data of secondary sources. Someadverse impacts are sought out.Some findings are sought out. Some suggestions are given to solve the adverse impacts to bring the allround development of the State. It is necessary to make an integrated research on the basic problems raised with the shifting cultivation by scientists of all the disciplines including social scientists.
Design and Computational Fluid Dynamics Analysis of a Fume Extraction System for a Welding Company in Guyana
Authors: Khan Basheer , Eastman Shanomae , Yearwood Abdu , Sharief Safrawz , Norton Shion , Quintyn Colin , Liu Stephen , Jagnandan Shawn , Jagnandan Antalov
Published: November 2023

The arc welding operation results in harmful fumes being emitted where welders are exposed to dangerous metallic gases and fumes for 6 to 8 hours daily at INFAB welding company in Guyana. This paper presents a design of a fume extraction system, the design incorporates workspace dimensions, volume calculations, duct materials required, framework materials, airflow requirements, and fan selection, guided by a target of 6 air changes per hour (ACH). In addition, the calculated required airflow rate of 58,500 ft³/h ensures the selection of appropriate fans. The design aims to create a safe and healthy welding area for the employees by removing harmful fumes. Computational fluid dynamics (CFD) simulations were employed to analyse velocity and pressure distribution, offering valuable insights into airflow patterns and pressure variations.
MODEL SIMULTAN DAN DECOUPLED UNTUK PENYELESAIAN PROBLEM INTEGRASI PRODUKSI-PERSEDIAAN-DISTRIBUSI-PERSEDIAAN
Authors: Garside Annisa Kesy
Published: November 2023

The necessity to cut costs and inventory along supply chain makes a more integrated decision between production and distribution functions becomes very important. The purpose of this research is to develop a simultaneous and decoupled optimization model to solve integrated production-inventory-distribution-inventory problem. The model is formulated as Mixed Integer Programming (MIP) with objective function minimizing total cost which covers fixed and variable production cost, plant and Distribution Center (DC) inventory cost, regular and overtime delivery cost. As the conclusion of the two models used to solve integrated production-inventory-distribution-inventory problem, the total cost of simultan model is smaller than the decoupled one.

Abstract in Bahasa Indonesia:

Tuntutan untuk mengurangi biaya-biaya dan persediaan sepanjang supply chain, menyebabkan pengambilan keputusan yang lebih terintegrasi diantara fungsi produksi dan distribusi menjadi sangat penting. Penelitian ini bertujuan untuk mengembangkan model simultan dan decoupled untuk menyelesaikan problem integrasi produksi-persediaan-distribusi-persediaan. Model simultan dan decoupled diformulasikan sebagai Mixed Integer Programming (MIP) dengan fungsi tujuan meminimalkan total biaya yang meliputi biaya produksi tetap dan variabel, biaya persediaan di pabrik dan Distribution Center (DC) serta biaya pengiriman secara reguler dan overtime. Dengan menggunakan kedua model untuk menyelesaikan problem integrasi produksi-persediaan-distribusi-persediaan, diperoleh total biaya model simultan lebih kecil dibanding model decoupled.

Kata kunci: koordinasi supply chain, integrasi produksi-persediaan-distribusi-persediaan, mixed integer programming, pengiriman langsung, pendekatan decoupled.
APLIKASI KOMBINASI ALGORITMA GENETIK DAN DATA ENVELOPMENT ANALYSIS PADA PENJADWALAN FLOWSHOP MULTIKRITERIA
Authors: Palit Herry Christian , Lienardo Haris , Widyadana I Gede Agus
Published: November 2023

This article discusses the combination of genetic algorithm (GA) and Data Envelopment Analysis (DEA) to solve the flowshop scheduling problems with multicriteria. The criteria are makespan, total weighted tardiness, and mean flow time. DEA is used to calculate the overall value of criteria from each sequence. Relative efficiency value is employed as the fitted value in genetic algorithm, in order to have overall value that independent to a particular weight. The proposed algorithm that combines GA and DEA attain optimal solutions with relative efficiency as good as analytical solution, i.e., Mixed Integer Programming (MIP). From 30 problems generated, only one problem (3,33%) has relative efficienly less than 1.

Abstract in Bahasa Indonesia:

Artikel ini membahas kombinasi algoritma genetik dengan Data Envelopment Analysis (DEA) untuk pemecahan masalah penjadwalan flowshop multikriteria. Kriteria-kriteria yang digunakan, yaitu makespan, total weighted tardiness, dan mean flow time. DEA digunakan untuk menghitung nilai keseluruhan kriteria dari setiap sequence dengan menggunakan nilai efisiensi relatif sebagai fitted value dalam algoritma genetik. Hal ini ditujukan agar nilai keseluruhan dari kriteria-kriteria yang ada tidak terikat pada satu jenis bobot saja. Kombinasi dua metode ini menghasilkan suatu algoritma yang mampu menghasilkan kumpulan solusi optimal dengan nilai efisiensi relatif yang tidak kalah jika dibandingkan dengan hasil dari model Mixed Integer Programming (MIP), dimana dari 30 masalah yang dibangkitkan, hanya ada 1 masalah (3,33%) yang memiliki efisiensi relatif di bawah 1.

Kata kunci: penjadwalan flowshop, algoritma genetik, Data Envelopment Analysis.
MANAGING HIGH-END, HIGH-VOLUME INNOVATIVE PRODUCTS
Authors: Baskoro Gembong
Published: November 2023

This paper discuses the concept of managing high-end, high-volume innovative products. High-end, high-volume consumer products are products that have considerable influence to the way of life. Characteristic of High-end, high-volume consumer products are (1) short cycle time, (2) quick obsolete time, and (3) rapid price erosion. Beside the disadvantages that they are high risk for manufacturers, if manufacturers are able to understand precisely the consumer needs then they have the potential benefit or success to be the market leader. High innovation implies to high utilization of the user, therefore these products can influence indirectly to the way of people life. The objective of managing them is to achieve sustainability of the products development and innovation. This paper observes the behavior of these products in companies operated in high-end, high-volume consumer product.
PENGEMBANGAN TATA KELOLA INDUSTRI KECIL-MENENGAH DI MADURA
Authors: Hidayat Rachmad , Herlambang Yudha
Published: November 2023

This research aims to investigate the effectiveness of the governance assistance for the Maduranese Small Medium Enterprises. The aids were given though cooperation between SMES and state-owned companies, the easiness to get credit loans, entrepreneurial trainings. The Structural Equation Modeling (SEM) was employed to test the hypotheses which emerged from those conditions. Moreover, the AMOS 4.0 was also used to perform the SEM. The results showed that the easiness to get credit loan has not improved the SMEs’ performance directly, contradictively, it decreased their performances. Additionally, centralized entrepreneurial trainings also could not boost their performances. The only factor which has a positive impact was the cooperation between the SMEs and the state-owned companies. Based on these results, we therefore, propose policies that include the cooperation between state-owned as well as public companies and SMEs. Moreover, they also should aware on the Maduranesse culture.

Abstract in Bahasa Indonesia:

Penelitian ini mengkaji pengaruh tata kelola pembinaan pemerintah (bantuan Badan Usaha Milik Negara dan kredit perbankan dan kewirausahaan) terhadap kinerja Industri Kecil dan Menengah (IKM). Analisis yang digunakan untuk menjawab hipotesis adalah Structural Equation Modeling (SEM) dengan menggunakan program AMOS 4.0. Hasil penelitian menunjukkan bahwa pembinaan yang dilakukan pemerintah melalui pemberian kredit perbankan ternyata tidak serta merta dapat meningkatkan kinerja tetapi malah menurunkan kinerja. Demikian juga pola pendidikan kewirausahaan yang formal dan tersentralisasi terbukti tidak dapat meningkatkan kinerja IKM di Madura. Perumusan tentang beberapa kebijakan operasional yang perlu mendapatkan perhatian pihak pemerintah terutama penguatan di bidang usaha spesifik kekhasan budaya lokal. Pola kerja sama dengan Badan Usaha Milik Negara dengan pola bisnis murni mungkin bisa menjadi alternatif pembinaan pemerintah dengan berpegang teguh pada budaya masyarakat Madura.

Kata kunci: bantuan Badan Usaha Milik Negara, kewirausahaan dan kinerja Industri Kecil Menengah.
QUALITY MATTER FOR (INDONESIA) PRIVATE HIGHER EDUCATION INSTITUTION
Authors: Baskoro Gembong
Published: November 2023

Quality in higher education is nowadays becoming important aspect for universities in order for them to participate in improving Indonesia competitiveness by mean of improving human development index. However, quality itself is not a simple term to be understood. Therefore the main objective of this paper is to elaborate quality matter especially for Private Higher Education Institution. It is expected that this paper can provide another insight for private Higher Education Institution to improve the quality. This paper tries to approach the quality by understanding its philosophy as well as its practical approach in Industry. Of course, there are always rooms for improvement.
Model Simultan Penentuan Toleransi Komponen Produk Rakitan dan Pabrik dalam Kolaborasi Manufaktur Make-to-Order
Authors: Mustajib M. Imron
Published: November 2023

This paper discusses the development of simultaneous optimization model to determine component tolerance of assembly product and plant for manufacturing processes by considering quality tolerance limits, and delivery time constraint to minimize total cost in collaboration environment of make-to-order manufacturing systems. Total cost of the system consists of manufacturing costs and quality loss costs as the tolerance function, operational costs for multi-plant manufacturing collaboration which includes: setup costs, material handling costs, operating costs of assembly, manual operations costs, and transportation costs. Formulation of the model developed uses mixed integer non linear programming as a method of solution search. In the numerical examples presented, the optimization process results an optimal solution. Optimal solution is not sensitive if the changes in quality tolerance constraint and delivery time constraint is not large. While the addition of an alternative plant for producing a component can changes the alternative plant selected
HARD: SUBJECT-BASED SEARCH ENGINE MENGGUNAKAN TF-IDF DAN JACCARDS COEFFICIENT
Authors: Intan Rolly , Defeng Andrew
Published: November 2023

This paper proposes a hybridized concept of search engine based on subject parameter of High Accuracy Retrieval from Documents (HARD). Tf-Idf and Jaccard's Coefficient are modified and extended to providing the concept. Several illustrative examples are given including their steps of calculations in order to clearly understand the proposed concept and formulas.

Abstract in Bahasa Indonesia :

Paper ini memperkenalkan suatu algorima search engine berdasarkan konsep HARD (High Accuracy Retrieval from Documents) dengan menggabungkan penggunaan metoda TF-IDF (Term Frequency Inverse Document Frequency) dan Jaccard's Coefficient. Kedua metoda, TF-IDF dan Jaccard's Coefficient dimodifikasi dan dikembangkan dengan memperkenalkan beberapa rumusan baru. Untuk lebih memudahkan dalam mengerti algoritma dan rumusan baru yang diperkenalkan, beberapa contoh perhitungan diberikan.

Kata kunci: HARD, Tf-Idf, koefisien Jaccard, search engine, himpunan fuzzy.
A comparison of three‐film analysis software for stereotactic radiotherapy patient‐specific quality assurance
Authors: Buddhavarapu Athreya
Published: November 2023

Aim

The aim of this study was to investigate the suitability of three radiochromic film analysis software for stereotactic radiotherapy patient‐specific quality assurance (PSQA): FilmQA Pro v5.0, SNC Patient v6.2, and eFilmQA v5.0.

Methods

Film calibration was conducted for each software followed by three sets of measurements. The first set assessed calibration accuracy by comparing measured and delivered doses at increments different from those used for calibration. The second set used each software to conduct PSQA through gamma analysis on 10 stereotactic radiosurgery (SRS) and stereotactic body radiation therapy (SBRT) patients. The third set utilized SNC Patient and eFilmQA to carry out gamma analysis on a collection of four digital test images, eliminating delivery and scanning uncertainties from impacting the analysis. Key supporting features within each software for conducting gamma analysis were identified.

Results

Overall, FilmQA Pro and eFilmQA were deemed comparable and favoured over SNC Patient due to the presence of key features such as triple‐channel dosimetry, auto‐optimization, and dose scaling. FilmQA Pro has a substantial user base and established reputation. eFilmQA, having been introduced more recently, serves as a viable alternative to FilmQA Pro, having been further refined for stereotactic radiotherapy PSQA.

Conclusion

This study investigated the suitability of three film analysis software (FilmQA Pro, eFilmQA, and SNC Patient) for stereotactic radiotherapy PSQA. Results from the investigation indicated that both FilmQA Pro and eFilmQA are comparably suitable and are preferred over SNC Patient. Both FilmQA Pro and eFilmQA are recommended for radiotherapy clinics.
In Vitro Mechanical Stimulation to Reproduce the Pathological Hallmarks of Human Cardiac Fibrosis on a Beating Chip and Predict The Efficacy of Drugs and Advanced Therapies
Authors: Visone Roberta , Paoletti Camilla , Cordiale Alessandro , Nicoletti Letizia , Divieto Carla , Rasponi Marco , Chiono Valeria , Occhetta Paola
Published: November 2023

Cardiac fibrosis is one of the main causes of heart failure, significantly contributing to mortality. The discovery and development of effective therapies able to heal fibrotic pathological symptoms thus remain of paramount importance. Micro‐physiological systems (MPS) are recently introduced as promising platforms able to accelerate this finding. Here a 3D in vitro model of human cardiac fibrosis, named uScar, is developed by imposing a cyclic mechanical stimulation to human atrial cardiac fibroblasts (AHCFs) cultured in a 3D beating heart‐on‐chip and exploited to screen drugs and advanced therapeutics. The sole provision of a cyclic 10% uniaxial strain at 1 Hz to the microtissues is sufficient to trigger fibrotic traits, inducing a consistent fibroblast‐to‐myofibroblast transition and an enhanced expression and production of extracellular matrix (ECM) proteins. Standard of care anti‐fibrotic drugs (i.e., Pirfenidone and Tranilast) are confirmed to be efficient in preventing the onset of fibrotic traits in uScar. Conversely, the mechanical stimulation applied to the microtissues limit the ability of a miRNA therapy to directly reprogram fibroblasts into cardiomyocytes (CMs), despite its proved efficacy in 2D models. Such results demonstrate the importance of incorporating in vivo‐like stimulations to generate more representative 3D in vitro models able to predict the efficacy of therapies in patients.
Hyaluronic Acid‐Based Reactive Oxygen Species‐Responsive Multifunctional Injectable Hydrogel Platform Accelerating Diabetic Wound Healing
Authors: Shi Chen , Zhang Ying , Wu Guanfu , Zhu Zhangyu , Zheng Haiping , Sun Ximeng , Heng Yongyuan , Pan Shaowei , Xiu Haonan , Zhang Jing , Yin Zhaowei , Yu Ziyi , Liang Bin
Published: November 2023

Diabetic wounds are more likely to develop into complex and severe chronic wounds. The objective of this study is to develop and assess a reactive oxygen species (ROS)‐responsive multifunctional injectable hydrogel for the purpose of diabetic wound healing. A multifunctional hydrogel (HA@Cur@Ag) is successfully synthesized with dual antioxidant, antibacterial, and anti‐inflammatory properties by crosslinking thiol hyaluronic acid (SH‐HA) and disulfide‐bonded hyperbranched polyethylene glycol (HB‐PBHE) through Michael addition; while, incorporating curcumin liposomes and silver nanoparticles (AgNPs). The HA@Cur@Ag hydrogel exhibits favorable biocompatibility, degradability, and injectivity. The outcomes of in vitro and in vivo experiments demonstrate that the hydrogel can effectively be loaded with and release curcumin liposomes, as well as silver ions, thereby facilitating diabetic wound healing through multiple mechanisms, including ROS scavenging, bactericidal activity, anti‐inflammatory effects, and the promotion of angiogenesis. Transcriptome sequencing reveals that the HA@Cur@Ag hydrogel effectively suppresses the activation of the tumour necrosis factor (TNF)/nuclear factor κB (NF‐κB) pathway to ameliorate oxidative stress and inflammation in diabetic wounds. These findings suggest that this ROS‐responsive multifunctional injectable hydrogel, which possesses the ability to precisely coordinate and integrate intricate biological and molecular processes involved in wound healing, exhibits notable potential for expediting diabetic wound healing.
Chiral Plasmonic Hybrid Nanostructures: A Gateway to Advanced Chiroptical Materials
Authors: Tan Lili , Fu Wenlong , Gao Qi , Wang Peng‐peng
Published: November 2023

Chirality introduces a new dimension of functionality to materials, unlocking new possibilities across various fields. When integrated with plasmonic hybrid nanostructures, this attribute synergizes with plasmonic and other functionalities, resulting in unprecedented chiroptical materials that push the boundaries of the system's capabilities. Recent advancements have illuminated the remarkable chiral light–matter interactions within chiral plasmonic hybrid nanomaterials, allowing for the harnessing of their tunable optical activity and hybrid components. These advancements have led to applications in areas such as chiral sensing, catalysis, and spin optics. Despite these promising developments, there remains a need for a comprehensive synthesis of the current state‐of‐the‐art knowledge, as well as a thorough understanding of the construction techniques and practical applications in this field. This review begins with an exploration of the origins of plasmonic chirality and an overview of the latest advancements in the synthesis of chiral plasmonic hybrid nanostructures. Furthermore, representative emerging categories of hybrid nanomaterials are classified and summarized, elucidating their versatile applications. Finally, the review engages with the fundamental challenges associated with chiral plasmonic hybrid nanostructures and offer insights into the future prospects of this advanced field.
Multienzymatic Cascades and Nanomaterial Scaffolding—A Potential Way Forward for the Efficient Biosynthesis of Novel Chemical Products
Authors: Hooe Shelby L. , Smith Aaron D. , Dean Scott N. , Breger Joyce C. , Ellis Gregory A. , Medintz Igor L.
Published: November 2023

Synthetic biology is touted as the next industrial revolution as it promises access to greener biocatalytic syntheses to replace many industrial organic chemistries. Here, it is shown to what synthetic biology can offer in the form of multienzyme cascades for the synthesis of the most basic of new materials—chemicals, including especially designer chemical products and their analogs. Since achieving this is predicated on dramatically expanding the chemical space that enzymes access, such chemistry will probably be undertaken in cell‐free or minimalist formats to overcome the inherent toxicity of non‐natural substrates to living cells. Laying out relevant aspects that need to be considered in the design of multi‐enzymatic cascades for these purposes is begun. Representative multienzymatic cascades are critically reviewed, which have been specifically developed for the synthesis of compounds that have either been made only by traditional organic synthesis along with those cascades utilized for novel compound syntheses. Lastly, an overview of strategies that look toward exploiting bio/nanomaterials for accessing channeling and other nanoscale materials phenomena in vitro to direct novel enzymatic biosynthesis and improve catalytic efficiency is provided. Finally, a perspective on what is needed for this field to develop in the short and long term is presented.