bluuebunny/crossref_metadata_2025 huggingface dataset:
Circulating Metabolomic Associations with Neurocognitive Outcomes in Pediatric CKD
Authors: Lee Arthur M. , Xu Yunwen , Hooper Stephen R. , Abraham Alison G. , Hu Jian , Xiao Rui , Matheson Matthew B. , Brunson Celina , Rhee Eugene P. , Coresh Josef , Vasan Ramachandran S. , Schrauben Sarah , Kimmel Paul L. , Warady Bradley A. , Furth Susan L. , Hartung Erum A. , Denburg Michelle R. ,   on behalf of the CKD Biomarkers Consortium
Published: October 2023

Background

Children with CKD are at risk for impaired neurocognitive functioning. We investigated metabolomic associations with neurocognition in children with CKD.

Methods

We leveraged data from the Chronic Kidney Disease in Children (CKiD) study and the Neurocognitive Assessment and Magnetic Resonance Imaging Analysis of Children and Young Adults with Chronic Kidney Disease (NiCK) study. CKiD is a multi-institutional cohort that enrolled children aged 6 months to 16 years with eGFR 30–90 ml/min per 1.73 m2 (n=569). NiCK is a single-center cross-sectional study of participants aged 8–25 years with eGFR<90 ml/min per 1.73 m2 (n=60) and matched healthy controls (n=67). Untargeted metabolomic quantification was performed on plasma (CKiD, 622 metabolites) and serum (NiCK, 825 metabolites) samples. Four neurocognitive domains were assessed: intelligence, attention regulation, working memory, and parent ratings of executive function. Repeat assessments were performed in CKiD at 2-year intervals. Linear regression and linear mixed-effects regression analyses adjusting for age, sex, delivery history, hypertension, proteinuria, CKD duration, and glomerular versus nonglomerular diagnosis were used to identify metabolites associated with neurocognitive z-scores. Analyses were performed with and without adjustment for eGFR.

Results

There were multiple metabolite associations with neurocognition observed in at least two of the analytic samples (CKiD baseline, CKiD follow-up, and NiCK CKD). Most of these metabolites were significantly elevated in children with CKD compared with healthy controls in NiCK. Notable signals included associations with parental ratings of executive function: phenylacetylglutamine, indoleacetylglutamine, and trimethylamine N-oxide—and with intelligence: γ-glutamyl amino acids and aconitate.

Conclusions

Several metabolites were associated with neurocognitive dysfunction in pediatric CKD, implicating gut microbiome–derived substances, mitochondrial dysfunction, and altered energy metabolism, circulating toxins, and redox homeostasis.

Podcast

This article contains a podcast at https://dts.podtrac.com/redirect.mp3/www.asn-online.org/media/podcast/CJASN/2023_11_17_CJN0000000000000318.mp3
Associations of Biomarkers of Tubular Injury and Inflammation with Biopsy Features in Type 1 Diabetes
Authors: Limonte Christine P. , Prince David K. , Hoofnagle Andrew N. , Galecki Andrzej , Hirsch Irl B. , Tian Frances , Waikar Sushrut S. , Looker Helen C. , Nelson Robert G. , Doria Alessandro , Mauer Michael , Kestenbaum Bryan R. , de Boer Ian H.
Published: October 2023

Background

Whether biomarkers of tubular injury and inflammation indicate subclinical structural kidney pathology early in type 1 diabetes remains unknown.

Methods

We investigated associations of biomarkers of tubular injury and inflammation with kidney structural features in 244 adults with type 1 diabetes from the Renin-Angiotensin System Study, a randomized, placebo-controlled trial testing effects of enalapril or losartan on changes in glomerular, tubulointerstitial, and vascular parameters from baseline to 5-year kidney biopsies. Biosamples at biopsy were assessed for kidney injury molecule 1 (KIM-1), soluble TNF receptor 1 (sTNFR1), arginine-to-citrulline ratio in plasma, and uromodulin and epidermal growth factor (EGF) in urine. We examined cross-sectional correlations between biomarkers and biopsy features and baseline biomarker associations with 5-year changes in biopsy features.

Results

Participants' mean age was 30 years (SD 10) and diabetes duration 11 years (SD 5); 53% were women. The mean GFR measured by iohexol disappearance was 128 ml/min per 1.73 m2 (SD 19) and median urinary albumin excretion was 5 μg/min (interquartile range, 3–8). KIM-1 was associated with most biopsy features: higher mesangial fractional volume (0.5% [95% confidence interval (CI), 0.1 to 0.9] greater per SD KIM-1), glomerular basement membrane (GBM) width (14.2 nm [95% CI, 6.5 to 22.0] thicker), cortical interstitial fractional volume (1.1% [95% CI, 0.6 to 1.6] greater), fractional volume of cortical atrophic tubules (0.6% [95% CI, 0.2 to 0.9] greater), and arteriolar hyalinosis index (0.03 [95% CI, 0.1 to 0.05] higher). sTNFR1 was associated with higher mesangial fractional volume (0.9% [95% CI, 0.5 to 1.3] greater) and GBM width (12.5 nm [95% CI, 4.5 to 20.5] thicker) and lower GBM surface density (0.003 μm2/μm3 [95% CI, 0.005 to 0.001] lesser). EGF and arginine-to-citrulline ratio correlated with severity of glomerular and tubulointerstitial features. Baseline sTNFR1, uromodulin, and EGF concentrations were associated with 5-year glomerular and tubulointerstitial feature progression.

Conclusions

Biomarkers of tubular injury and inflammation were associated with kidney structural parameters in early type 1 diabetes and may be indicators of kidney disease risk.

Clinical Trial registry name and registration number

Renin Angiotensin System Study (RASS/B-RASS), NCT00143949

Podcast

This article contains a podcast at https://dts.podtrac.com/redirect.mp3/www.asn-online.org/media/podcast/CJASN/2023_11_17_CJN0000000000000333.mp3
Participant Experience with Protocol Research Kidney Biopsies in the Kidney Precision Medicine Project
Authors: Victoria-Castro Angela M. , Corona-Villalobos Celia P. , Xu Alan Y. , Onul Ingrid , Huynh Courtney , Chen Sarah W. , Ugwuowo Ugochukwu , Sarkisova Natalya , Dighe Ashveena L. , Blank Kristina N. , Blanc Victoria M. , Rose Michael P. , Himmelfarb Jonathan , de Boer Ian H. , Tuttle Katherine R. , Roberts Glenda V. ,   for the Kidney Precision Medicine Project
Published: October 2023

Background

Kidney biopsies are procedures commonly performed in clinical nephrology and are increasingly used in research. In this study, we aimed to evaluate the experiences of participants who underwent research kidney biopsies in the Kidney Precision Medicine Project (KPMP).

Methods

KPMP research participants with AKI or CKD were enrolled at nine recruitment sites in the United States between September 2019 and January 2023. At 28 days postbiopsy, participants were invited to complete a survey to share their experiences, including motivation to participate in research, comprehension of informed consent, pain and anxiety during and after the biopsy procedure, overall satisfaction with KPMP participation, and effect of the study on their lives. The survey was developed in collaboration with the KPMP Community Engagement Committee and the Institute of Translational Health Sciences at the University of Washington.

Results

One hundred and eleven participants completed the survey, 23 enrolled for AKI and 88 for CKD. The median age was 61 (interquartile range [IQR], 48–67) years, 43% were women, 28% were Black, and 18% were of Hispanic ethnicity. Survey respondents most commonly joined KPMP to help future patients (59%). The consent form was understood by 99%, and 97% recognized their important role in this study. Pain during the biopsy was reported by 50%, at a median level of 1 (IQR, 0–3) on a 0–10 scale. Anxiety during the biopsy was described by 64% at a median level of 3 (IQR, 1–5) on a 0–10 scale. More than half conveyed that KPMP participation had an effect on their diet, physical activity, and how they think about kidney disease.

Conclusions

KPMP survey respondents were most commonly motivated to participate in research protocol kidney biopsies by altruism, with excellent understanding of the informed consent process.
TWO-DIMENSIONAL GMM-BASED CLUSTERING IN THE PRESENCE OF QUANTIZATION NOISE
Authors: Jovanović Aleksandra , Perić Zoran
Published: October 2023

In this paper, unlike to the commonly considered clustering, wherein data attributes are accurately presented, it is researched how successful clustering can be performed when data attributes are represented with smaller accuracy, i.e. by using the small number of bits. In particular, the effect of data attributes quantization on the two-dimensional two-component Gaussian mixture model (GMM)-based clustering by using expectation–maximization (EM) algorithm is analyzed. An independent quantization of data attributes by using uniform quantizers with the support limits adjusted to the minimal and maximal attribute values is assumed. The analysis makes it possible to determine the number of bits for data presentation that provides the accurate clustering. These findings can be useful in clustering wherein before being grouped the data have to be represented with a finite small number of bits due to their transmission through the bandwidth-limited channel.
URBAN SOUND RECOGNITION USING DIFFERENT FEATURE EXTRACTION TECHNIQUES
Authors: Domazetovska Simona , Gavriloski Viktor , Anachkova Maja , Petreski Zlatko
Published: October 2023

The application of the advanced methods for noise analysis in the urban areas through the development of systems for classification of sound events significantly improves and simplifies the process of noise assessment. The main purpose of sound recognition and classification systems is to develop algorithms that can detect and classify sound events that occur in the chosen environment, giving an appropriate response to their users. In this research, a supervised system for recognition and classification of sound events has been established through the development of feature extraction techniques based on digital signal processing of the audio signals that are further used as an input parameter in the machine learning algorithms for classification of the sound events. Various audio parameters were extracted and processed in order to choose the best set of parameters that result in better recognition of the class to which the sounds belong. The created acoustic event detection and classification (AED/C) system could be further implemented in sound sensors for automatic control of environmental noise using the source classification that leads to reduced amount of required human validation of the sound level measurements since the target noise source is evidently defined.
THE WINDER DANCER POSITION CONTROL MODEL USING DIFFERENT PID CONTROL STRUCTURES AND MICROLOGIX PLC
Authors: Nikolić Saša S. , Kocić Igor , Antić Dragan , Mitić Darko , Danković Nikola , Milovanović Aleksandra , Đekić Petar
Published: October 2023

In the cable industry, improper regulation of the winding speed of the conductor cable, i.e. the position of the tensioner (dancer) leads to improper stretching of the conductor, which significantly affects the characteristics of the final product. Winding speed control is directly related to tensioning which is an additional problem. This paper presents a system for control a cable winding device using a linear PID controller with and without control signal limitation. The system parameters were determined using integral time-weighted absolute error (ITAE) criteria and realized using a conventional PLC controller.
DEVELOPMENT OF GEO-DA BASED ANDROID APPLICATION FOR SPATIAL AND STATISTICAL ANALYSIS OF SERBIAN LONG-TERM PRECIPITATION DATA
Authors: Jeremić Miljan , Milić Miljana , Milojković Jelena , Gocić Milan
Published: October 2023

Precipitation is one of the most important parameters to consider while analyzing risks from natural weather threats like floods and droughts. To prevent significant infrastructural and financial damage and loss, a good analysis of data and its visual presentation must be enabled. This also requires a reliable source of precipitation data for the region of interest. It is important to interpret and visualize the data obtained from meteorological stations to make an assessment, a forecast, or issue a warning. This paper describes the development of an Android application that enables visualization and analysis of average annual precipitation data for the period from 1946 to 2019, in the territory of the Republic of Serbia. Necessary precipitation data were acquired on the request from the official weather monitoring service for the Republic of Serbia (RHMSS).
OFDM LOW COMPLEXITY CHANNEL ESTIMATION USING TIME-FREQUENCY ADJUSTABLE WINDOW FUNCTIONS
Authors: Stanković Veljko , Perić Zoran
Published: October 2023

In this paper, we introduce a low complexity algorithm for estimation of the channel transfer function in the OFDM communication system that is using a scattered pilot symbol grid. Although, the use of the scattered pilot grid enables implementation of the flexible, and adaptive radio interface, it suffers from a high estimation error at the edges of the symbol sequence. Due to the sampling in time, and frequency, the signal is circularly expanded in both domains, and this has to be taken into account when the signal is processed. The proposed algorithm is shaping the pilot symbol estimates in time, and frequency domain, such that the aliasing in both domains are reduced or eliminated. We achieve a significant reduction of the estimation error, with a linear increase in computational complexity.
DIGITAL TWIN BASED LIGHTWEIGHTING OF ROBOT UNMANNED GROUND VEHICLES
Authors: Banić Milan , Simonović Miloš , Stojanović Lazar , Rangelov Damjan , Miltenović Aleksandar , Perić Marko
Published: October 2023

Battery powered outdoor robot Unmanned Ground Vehicles (UGV) should have minimal mass for designed payload capacity to facilitate their movement on rough terrain and increase their autonomy. On the other hand, stiffness and strength of their mechanical components should be sufficient to sustain operational loads. The paper presents the case study of robot UGV lightweighting based on UGV digital twin data. The process of creation of robot UGV digital twin is described, as well as the type and quantity of data acquired from robot sensors. Based on the data from the digital twin of the robot about operational loads, the worst operational load cases were identified and the structural analysis of the robot chassis for noted load cases was performed. The results of the analysis were used in the topology optimization of the robot UGV mechanical components with a goal to satisfy design requirements and reduce the robot mass. By application of noted procedure the mass reduction of approximately 17 % was achieved.
Meta-Learning for Neural Machine Translation
Authors: Malik Dr. Pankaj , Patel Anshul , Patel Amit , Khan Daud , Solanki Aakash
Published: October 2023

Abstract: Neural Machine Translation (NMT) has significantly advanced the field of automated language translation, yet challenges persist in adapting to diverse language pairs, handling low-resource languages, and ensuring domain-specific translation accuracy. To address these challenges, this study explores the integration of meta-learning methodologies in NMT, aiming to enhance the adaptability and generalization capabilities of translation models. Through a comprehensive analysis of various meta-learning approaches, including Model-Agnostic Meta-Learning (MAML), metric-based meta-learning, and optimization-based meta-learning, we demonstrate the potential for improved translation accuracy and fluency across diverse language pairs and domains. Drawing upon a diverse set of bilingual corpora and employing the Transformer model as the base architecture, our experimental evaluation highlights the substantial performance improvements achieved through the integration of metalearning techniques. The case studies and use cases presented in this study underscore the practical applications of the integrated meta-learning methodologies in facilitating cross-lingual information retrieval, low-resource language localization, specialized domain translation, and multimodal translation. While acknowledging the computational complexity and ethical implications, this study emphasizes the importance of collaborative and interdisciplinary research efforts to advance the development of more adaptive and contextually aware translation systems. The findings and insights presented in this study offer valuable implications for the advancement of NMT and automated language translation practices
Analyzing Recent Indian Agricultural Reforms: Implications for the Sector and Economy
Authors: Jain Bhavya , Jain Dhruv , Bhansali Divyansh
Published: October 2023

Abstract: With a focus on two main areas, this article examines the recent agricultural reforms in India and their effects on the industry and economy. Specifically, it looks at the three farm laws in depth, weighing their advantages and disadvantages, and draws comparisons with the economic changes of 1991. These regulations are set against the backdrop of India's changing economic landscape, which has been characterized by class disputes in agriculture and inequities between urban and rural areas since the 1990s. The objectives of the Farmer's Produce Trade and Commerce Act, 2020 are to decrease middlemen and increase market access. Potential effects on the Minimum Support Price (MSP) system are the main source of concern. Modernizing farming processes, lowering risks, and promoting comprehensive crop production agreements are the goals of the Farmers (Empowerment and Protection) Agreement on Price Assurance and Farm Service Act, 2020. Among the difficulties are a lack of literacy among farmers and differences in the contractual parties' capacities. The Essential Commodities Act, 2020 modifies the essential goods regulation system with the goal of minimizing government involvement while guaranteeing a steady supply of essentials. Its dynamic nature and potential for consumer abuse give rise to concerns. Regarding rice marketing, these regulations could affect individual rice varieties, increase farmers' market access and autonomy, remove storage ceilings, and mostly help rice growers. To fully comprehend the complex effects of these farm regulations on India's agriculture and economy, more study and analysis are necessary.
Certifying the quantum Fisher information from a given set of mean values: a semidefinite programming approach
Authors: Müller-Rigat Guillem , Srivastava Anubhav Kumar , Kurdziałek Stanisław , Rajchel-Mieldzioć Grzegorz , Lewenstein Maciej , Frérot Irénée
Published: October 2023

We introduce a semidefinite programming algorithm to find the minimal quantum Fisher information compatible with an arbitrary dataset of mean values. This certification task allows one to quantify the resource content of a quantum system for metrology applications without complete knowledge of the quantum state. We implement the algorithm to study quantum spin ensembles. We first focus on Dicke states, where our findings challenge and complement previous results in the literature. We then investigate states generated during the one-axis twisting dynamics, where in particular we find that the metrological power of the so-called multi-headed cat states can be certified using simple collective spin observables, such as fourth-order moments for small systems, and parity measurements for arbitrary system sizes.
Inclusão das crianças com autismo: perspectivas sobre uma intervenção na escola
Authors: Cunha Ane Cristine Herminio
Published: October 2023

O texto apresenta a avaliação das mães, professoras e psicopedagoga de crianças com autismo sobre uma abordagem de trabalho desenvolvido pelas autoras e designado de método singular. Foi desenvolvida uma pesquisa aplicada, qualitativa e de intervenção, que focava no desenvolvimento das funções mentais superiores de 2 crianças com autismo. As entrevistas foram realizadas antes e depois de 4 meses de trabalho realizados diariamente na sala de aula e em outros ambientes da escola. Focamos a análise em dois aspectos: suas análises sobre o método e suas perspectivas sobre a evolução das crianças após a intervenção. As entrevistadas relatam perceber a evolução das crianças em várias funções mentais e a diminuição de alguns sintomas do TEA após a intervenção. Nossos dados apontam para a necessidade de as crianças com autismo serem trabalhadas em uma perspectiva que englobe todos os aspectos do seu desenvolvimento, evitando atividades repetitivas e engessadas.
We Are Public Space: Bodies and Minds in Post-pandemic Cities
Authors: Marketa Kinterova
Published: October 2023

The project aims to pay heightened attention to public spaces in cities on several levels. The first follows the trend of newly developed privately owned public spaces (known as POPS), which establish a precedent for how corporations and cities define public space and what they prioritize within it. A clear focus on people as consumers – rather than citizens – have several effects, including strict restrictions, the creation of societies of control (Deleuze 1992: 3), and various forms of often indirect exclusion of certain groups of inhabitants.

The second level attempts to accentuate subjective experiences focused on our bodies and making them consciously present in relation to public space. Both layers are a significant component of the performative lecture walks, on the basis of which I introduce the results of interactions with the respondents in my case studies. Finally, I shall describe what cities looked like during the pandemic and consider whether these scenes might be a model for the future. Are we to expect further experiences of empty cities?
The Plane of Cicadas: On the Possibility of Making Kin through Musicking
Authors: Mathew Klotz
Published: October 2023

This autoethnographic exposition details a short series of musicking encounters aimed at making kin in a rainforest-covered mountain on unceded Djiru Country on the east coast of Australia. Each encounter consisted of a short hike and a discrete musical encounter with local subjectivities. The inquiry considers the place of the walking in the musicking, and my joint response-ability with my saxophone (or the ways in which we apprehend and respond to other subjectivities) in each encounter. I argue that the hiking and discrete sonic encounters became entangled processes, in which my epistemological capacity and music-making practice were challenged and the possibility of kinship resides.
La resistencia de las piedras
Authors: alejandra reyero  , Maia Navas
Published: October 2023

The proposal explores the potential of critical experimental research, turning to medial - material practices of countermemory in the face of historical and contemporary technologies of control. This is an essay on remains of images, sounds and texts that were part of the research process of the short film "Enviado para falsar" (Maia Navas - 2021).
Two spaces: Napalpí (Chaco, Argentina, 1924, where the “Napalpí indigenous massacre” by the National State took place) – Barrio Gran Toba (Resistencia, Chaco, Argentina, 2020, where descendants of qom indigenous communities were monitored by a police drone during the Covid-19 pandemic.). Two temporalities that are abyssed through montage as an aesthetic and epistemic exercise, updating the colonial legacy that operates again under the motto of care, the legality of persecution and the abuse of power.
Against this, we rescue the gesture of the slingshot with which the Qom indigenous community brought down the police drone. We made interventions on the archive material of German anthropologist R. L. Nitsche linked to the 1924 Napalpí massacre and we risked irreverent gestures that operate as a glimpse to evidence its truth as artifice.
We propose exercises with and on visual residues, anachronistic and poetic approaches by superimposing voices and sounds. We fable decolonizing strategies that seek to turn a past into present, by imagining its return as inventive action.
Based on possible temporary deviations from the fall of the drone, operations on the image are detached. A dialogue between objects and intervening actors those who have or have not witnessed the events is traced according to a path of existing letters and publications, which account for the network of relationships between science celebrities, the State and police forces.
A conversation about Studio Conversations
Authors: VIS – Nordic Journal for Artistic Research  , Chrysa Parkinson  , Frank Bock  , Andrew Hardwidge
Published: October 2023

Filmed conversation between Gunhild Mathea Husvik-Olaussen, co-editor of issue #10, and Andrew Hardwidge, Chrysa Parkinson and Frank Bock, authors of “Studio Conversations”. During this conversation, the editor interweaves the essence of "Studio Conversations" with the overarching theme of "Circulating Practices." Through this talk, you'll get an insight into "Studio Conversations," a research project focused on ways of asking contemporary dance artists about the practices, working and knowing happening in their dancing. "Studio Conversations” was originally intended to be published as an exposition in VIS. In recognition of the project's specific approach, we decided in dialogue with the authors to depart from the conventional exposition format. Instead, we've chosen to present Studio Conversations as a video conversation. This decision stems from our commitment to presenting artistic research in a way that best reflects the purpose of the project and the vision of its creators. The discussion was filmed on Stockholm University of the Arts (SKH) premises at Filmhuset on 29 September 2023.
3D Printed X-band Evanescent Mode Waveguide Filter Based on Pixelization Strategy
Authors: Zechmeister Jaroslav , Lacik Jaroslav
Published: October 2023

A 3D-printed X-band evanescent mode waveguide filter based on
pixelization strategy is proposed in this letter. The uniqueness of the
filter lies in the exploitation of the evanescent mode waveguide in
conjunction with a 3D-printed dielectric pixelated structure. The
crucial advantage of this approach is the fact that the dielectric
pixelated structure located in a waveguide is not metal coated, so the
fabrication process is easier. The proposed filter is manufactured using
the fused deposition modeling 3D print technology. Its measured
transmission coefficient in the passband is approximately -2 dB, and the
reflection coefficient is below -19 dB.
Resource Management in Fog Computing: A Systematic Review of Techniques, Open Issues, and Future Trends
Authors: Rezazadeh Bahareh , Abyaneh Zahra Ghasemi , Asghari Parvaneh , Javadi Hamid Haji Seyyed
Published: October 2023

Incorporating the Internet of Things (IoT) with cloud computing has
significantly changed various industries and improved the quality of
life. Despite these advantages, cloud computing is not enough for
real-time applications due to the dynamic nature of IoT Devices (IoTDs)
and their unpredictable locations, heterogeneity constraints, fault
sensitivity, and power supply limitations. Accordingly, Cisco has
introduced fog computing as a solution that relocates computation to the
network’s edge. This article presents a Systematic Literature Review
(SLR) of 109 research articles published between 2016 and 2023 on modern
fog resource management approaches. Based on a comprehensive taxonomy,
these approaches are classified and compared considering several
technological benchmarks, including Quality of Service (QoS) parameters,
algorithms, techniques, evaluation methods, case studies, and their
strengths, limitations, and novel findings. Additionally, a separate
section extensively discusses future trends and open issues in fog
computing resource management. In this study, security issues are not
addressed, which is suggested for future studies.
Utility of animal models in stress-related psychiatric disorders: A review
Authors: Collins Amelia , Kumaran Cynthia , Gurgel Sofia , Grace Anthony
Published: October 2023

Early-life stress has been shown to have long-lasting consequences on
adult neuropsychology and is a known risk factor for various
neuropsychiatric disorders, namely schizophrenia and major depressive
disorder. The amygdala, prefrontal cortex, and hippocampus are key brain
regions affected by this stress, with the amygdala playing a crucial
role in stress activation and memory formation. Animal models provide
valuable insights into the neurobiological alterations caused by stress
in these regions and are essential to our understanding of
stress-related disorders in humans. This paper will analyze the impact
of stress on the activation of the amygdala and its effects on the
prefrontal cortex and hippocampus, focusing on the utility and necessity
of animal studies in research of stress-related pathologies.
A General Dynamic Programming Approach to the Optimal Water Storage Management for Irrigation
Authors: Belhenniche Abdelkader , Pena Danilo , Aguiar A. Pedro , Pinho Maria do Rosário de
Published: October 2023

This paper proposes a dynamic programming approach targeted to solve a
natural resource problem of water storage management for irrigation in
an environmentally and socially sustainable way. The problem we examine
in our formulation, which deals with the control of water storage in
tanks, incorporates assumptions that are milder compared to those
previously discussed in the literature concerning similar approaches.
Specifically, we consider a time periodic optimal control problem whose
performance functional to be maximized merely satisfies a contraction
assumption (in the sense of Boyd and Wong) weaker than the one usually
considered in the pertinent literature. By using an appropriate fixed
point theorem, a time periodic value function can be constructed to
enable the definition of optimal feedback control strategies. After
showing the insufficiency of Banach contraction frameworks, and proving
the underlying auxiliary mathematical results, we show our main result
under conditions that are weaker than the previous related ones.
Simulation results illustrate the performance of our approach.
Reviving Spent Lithium-ion Batteries: The Advancements and Challenges of Black Mass Recovery
Authors: Ran Yunjia , Yoon Songhak , Meles Samuel , Jöckel Dennis , Baek Sungho , Widenmeyer Marc , Balke-Grünewald Benjamin , Weidenkaff Anke
Published: October 2023

Once batteries reach their end-of-life (EoL), they are expected to be
collected, dismantled, and shredded into black mass (BM) which includes
wealth amounts of critical metals. BM can be regarded as a kind of urban
mines, where recyclers extract critical metals and reintroduce them into
new battery manufacturing. Focusing on the BM, this article discussed
the necessity of BM recovery and current recycling situations. Although
the benefits of recycling are commonly agreed upon, there remain still
many challenges and issues to overcome. The BM market is still in its
infancy, relevant regulatory frameworks need to be updated with the
widespread use and advancement of lithium-ion batteries (LIBs). Current
BM-producing and processing technologies still have room for large
improvements in terms of economic feasibility and sustainability that in
the end requires efforts from both researchers and industrial
stakeholders with growing interests and patient engagements.
DLgram Cloud Service for Deep-Learning Analysis of Microscopy Images
Authors: Matveev Andrey V. , Nartova Anna V. , Sankova Natalya N. , Okunev Alexey G.
Published: October 2023

To analyze images in various fields of science and technology, it is
often necessary to count observed objects and determine their
parameters. This can be quite labor-intensive and time-consuming. This
article presents DLgram, a universal, user-friendly cloud service that
is developed for this purpose. It is based on deep learning technologies
and does not require programming skills. The user labels several objects
in the image and uploads it to the cloud where the neural network is
trained to recognize the objects being studied. The user receives
recognition results which, if necessary, can be corrected, errors
removed, or missing objects added. In addition, it is possible to carry
out mathematical processing of the data obtained to get information
about the sizes, areas, and coordinates of the observed objects. The
article describes the service features and discusses examples of its
application. The DLgram service allows to reduce significantly the time
spent on quantitative image analysis, reduce subjective factor
influence, and increase the accuracy of analysis.
Measuring Financial Statement Disaggregation Using XBRL
Authors: Johnston Joseph A. , Reichelt Kenneth J. , Sapkota Pradeep
Published: October 2023

We develop a measure of disclosure quality using disaggregation of financial statement items from the Form 10-K XBRL filing. Our measure (ITEMS) extends Chen, Miao, and Shevlin’s (2015)DQ measure and is distinct from R. Hoitash and U. Hoitash’s (2018)ARC measure. Our measure provides a simple measure of disaggregation by counting the balance sheet and income statement line items, it does not depend on the data aggregators’ collection process and is readily available shortly after the Form 10-K is filed. We validate ITEMS by showing that firm fundamentals correlate to ITEMS in the predicted direction using OLS regression. We find that ITEMS explains consequences of disclosure quality: forecast error, forecast dispersion, bid-ask spread, and cost of equity capital. Further, ITEMS has explanatory power of disclosure quality consequences incremental to DQ and ARC, and it is distinct from ARC evident from different associations with disclosure quality consequences and reporting quality.

Data Availability: Data are available from public sources identified in the text.

JEL Classifications: M10; M40; M41.
Adherencia al tratamiento en pacientes con diabetes mellitus
Authors:   Investigadora Independiente, Cruz Castillo Yessenia Magaly , Salinas Velastegui Verónica Gabriela ,   Investigadora Independiente, Altamirano Guerrero Olivia Elizabeth ,   Investigadora Independiente
Published: October 2023

El objetivo de este trabajo de investigación fue describir la adherencia a tratamiento de la Diabetes Mellitus y los factores que intervienen en el incumplimiento del mismo El incumplimiento de la terapia farmacológica es la causa principal del fracaso de diversos tratamientos, incluyendo a la diabetes. El objetivo de este artículo fue identificar los factores que inciden en la adherencia terapéutica en personas con Diabetes Mellitus. Se ha encontrado que esta falta de adherencia terapéutica conlleva a costos altos para el sistema sanitario, problemas en la calidad de vida de los pacientes, y sobre todo, favorece a que no se obtengan resultados clínicos positivos. Actualmente, el incumplimiento de la terapia farmacológica es la causa principal del fracaso de diversos tratamientos, incluyendo a la diabetes. Esta falta de adherencia terapéutica conlleva a costos altos para el sistema sanitario, problemas en la calidad de vida de los pacientes, y sobre todo, favorece a que no se obtengan resultados clínicos positivos.
Autopsy Discoveries in Severe Malaria
Authors: Indrayana Mohammad Tegar , Afandi Dedi , Romus Ilhami , Lesmana Suri D.
Published: October 2023

Severe malaria is a disease caused by Plasmodium falciparum as the main cause of death in malaria. As autopsy examinations on malaria are rare in Indonesia, we report a nineteen-year-old male from Dumai, Indonesia, who died of severe malaria on November 10th 2018, at Dumai Regional General Hospital of Riau Province. The diagnosis was concluded from autopsy, histopathology and toxicology. This case report aimed to explain autopsy findings in severe malaria. As the result of external examination, we found some bruises on the right earlobe, lip mucosa and lower leg; excoriations on the neck, both arms and right lower leg; excoriations on the right lower leg and blood infiltration in the connective tissue on the right intercostal space. The autopsy and histopathology examination showed signs of congestion and hemozoin pigment in the brain, small intestine, liver, lung, heart, kidney, stomach and spleen. On toxicology examination, there was no narcotic substance found. Based on autopsy findings, histopathology and toxicological findings, we conclude that the cause of death, in this case, was severe malaria. Blunt violence to the ears, lips, neck, arms, and legs did not significantly cause death.
Studi In-Vitro Efektifitas Grain Kefir dengan Kombinasi Sorbitol Terhadap Pertumbuhan Streptococcus mutans
Authors: Sutanti Viranda , Rachmawati Yuanita Lely , Putra Bintang Vallentino Nugraha , Pangestu Herlambang
Published: October 2023

Karies gigi adalah penyakit kronis jaringan keras gigi yang disebabkan oleh Streptococcus mutans (S.mutans). Berbagai metode termasuk aplikasi pasta gigi, senyawa antibakteri dan obat kumur yang mengandung fluoride bersama dengan penggunaan pemanis yang tidak dapat difermentasi seperti sorbitol telah disarankan untuk mengurangi aktivitas bakteri ini. Pada studi ekologi mulut telah mengkonfirmasi efektifitas bakteri probiotik dalam mengurangi jumlah S. mutans. Grain kefir merupakan salah satu produk probiotik. Tujuan penelitian ini adalah untuk melihat efektifitas grain kefir murni dan kombinasi dengan sorbitol terhadap pertumbuhan S. mutans secara in vitro. Penelitian dilakukan di laboratorium Biologi Oral Fakultas Kedokteran Gigi Universitas Brawijaya pada bulan Januari-Februari 2023. Dilakukan uji KHM (Konsentrasi Hambat Minimum) menggunakan uji tabung dan KBM (Konsentrasi Bakterisidal Minimum) menggunakan colony counter. Penentuan konstrasi perlakukan diawali dengan uji pendahuluan grain kefir murni konsentrasi 3,125% dan 6,25%, 12,5%, 25%, 50% dan 100%. Nilai KHM grain kefir murni uji pendahuluan terhadap S.mutans pada konsentrasi 12,5%. Pada konsentrasi perlakuan didapatkan nilai KHM grain kefir murni adalah 15% dan kombinasi grain kefir-sorbitol terhadap S.mutans yaitu pada konsentrasi 12,5%. Nilai KBM grain kefir murni didapatkan pada konsentrasi 15% dan kombinasi grain kefir-sorbitol pada konsentrasi 12,5%. Kombinasi grain kefir-sorbitol dapat menurunkan pertumbuhan S. mutans pada konsentrasi 12,5%.
Establishment of a birth-to-education cohort of 1 million Palestinian refugees using electronic medical records and electronic education records
Authors: Jamaluddine Zeina , Seita Akihiro , Ballout Ghada , Al-Fudoli Husam , Paolucci Gloria , Albaik Shatha , Ibrahim Rami , Sato Miho , Ghattas Hala , Campbell Oona
Published: October 2023

IntroductionBy linking datasets, electronic records can be used to build large birth-cohorts, enabling researchers to cost-effectively answer questions relevant to populations over the life-course. Currently, around 5.8 million Palestinian refugees live in five settings: Jordan, Lebanon, Syria, West Bank, and Gaza Strip. The United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA) provides them with free primary health and elementary-school services. It maintains electronic records to do so.
We aimed to establish a birth cohort of Palestinian refugees born between 1st January 2010 and 31st December 2020 living in five settings by linking mother obstetric records with child health and education records and to describe some of the cohort characteristics. In future, we plan to assess effects of size-at-birth on growth, health and educational attainment, among other questions.
MethodsWe extracted all available data from 140 health centres and 702 schools across five settings, i.e. all UNRWA service users. Creating the cohort involved examining IDs and other data, preparing data, de-duplicating records, and identifying live-births, linking the mothers' and children's data using different deterministic linking algorithms, and understanding reasons for non-linkage.
ResultsWe established a birth cohort of Palestinian refugees using electronic records of 972,743 live births. We found high levels of linkage to health records overall (83%), which improved over time (from 73% to 86%), and variations in linkage rates by setting: these averaged 93% in Gaza, 89% in Lebanon, 75% in Jordan, 73% in West Bank and 68% in Syria. Of the 423,580 children age-eligible to go to school, 47% went to UNRWA schools and comprised of 197,479 children with both health and education records, and 2,447 children with only education records. In addition to year and setting, other factors associated with non-linkage included mortality and having a non-refugee mother. Misclassification errors were minimal.
ConclusionThis linked open birth-cohort is unique for refugees and the Arab region and forms the basis for many future studies, including to elucidate pathways for improved health and education in this vulnerable, understudied population. Our characterization of the cohort leads us to recommend using different sub-sets of the cohort depending on the research question and analytic purposes.
Ventajas de uso de tecnologías de la información en educación a distancia digital en tiempos de COVID-19
Authors: Jaime-Vargas José Alejandro , Sánchez-Lezama Ana Paola
Published: October 2023

Debido a la pandemia provocada por el covid-19, los gobiernos de casi 200 países decretaron el cierre total o parcial de instalaciones educativas presenciales con el fin de frenar la dispersión del virus. Específicamente en México, a mediados de marzo del 2020, se estableció el aislamiento social que obligó la suspensión de actividades educativas presenciales, lo que provocó la implementación de educación en modalidad online, por lo que las tecnologías de la información adquirieron un papel sobresaliente en el sector educativo. El objetivo del estudio, por tanto, es analizar la percepción de los universitarios en modalidad virtual sobre las ventajas de los cursos en línea, en especial en cuanto a herramientas virtuales, interacciones con profesores, interacción con materiales de aprendizaje e interacción dialógica con compañeros, controlando por género.

Para eso, se empleó un muestreo no probabilístico con 205 sujetos. La investigación buscó determinar, a través de un diseño cuantitativo y un análisis de ecuaciones estructurales, los puntos que se deben fortalecer para posibilitar el alcance, calidad e igualdad de la oferta educativa en línea. Los hallazgos indicaron que la percepción de herramientas pedagógicas y la interacción dialógica con compañeros afectan positiva y significativamente la apreciación de las ventajas de las clases virtuales. Este artículo, en definitiva, permite conocer la percepción de los estudiantes en relación con las herramientas pedagógicas y si su disposición varía según si es nativo o inmigrante digital. Por último, se considera necesario optimizar los materiales didácticos virtuales, pues se documentó que en la mayoría de los alumnos predomina un estilo de aprendizaje visual.
The impact of exercise on cardiovascular system: Molecular signaling pathway and cardiac adaptations
Authors: Toktarbay Bauyrzhan , Khamitova Zaukiya , Zholshybek Nurmakhan , Jumadilova Dinara , Rakhmanov Yeltay , Bekbossynova Makhabbat , Gaipov Abduzhappar , Salustri Alessandro
Published: October 2023

The purpose of this review is to describe the impact of endurance and strength physical training on the cardiovascular system by reviewing the molecular signaling pathways, which plays a key role in different muscle adaptations, and the cardiac changes in terms of metabolic and cardiac remodeling, and hemodynamics. In response to endurance-exercise, multiple signaling pathways, including Ca2+-dependent pathways, reactive oxygen species (ROS), AMP-dependent protein kinase (AMPK), and mitogen activated protein kinases (p38 MAPK), are involved in the regulation of peroxisome-proliferator-activated receptor-γ coactivator-1α (PGC-1α), which controls the mitochondrial biogenesis. Strength training increases the insulin-like growth factor (IGF-1) which initiates the phosphatidylinositol 3-kinase (PI3-k)-(AKT)-(mTOR) signaling cascade, resulting in the synthesis of proteins and the muscle hypertrophy. In addition to the well-documented changes in skeletal muscle, a critical component of the response to exercise training is the dynamic cardiac remodeling, which is classified as either pathological or physiological depending on triggers.
CHALLENGES, STRATEGIES AND QUALIFICATIONS OF AUDITORS IN THE SOCIETY 5.0 ERA
Authors: Tambun Sihar , Sitorus Riris Rotua
Published: October 2023

We will soon live the Era of Society 5.0. An era that is integrated with AI in all professions, including auditors. The research aims to obtain an overview of the auditor's profession in the future. First, the challenges that auditors will face and second, the strategies that auditors need in the Society 5.0 Era. This research uses a literature study approach with content analysis. Data sources from journal articles, proceedings, online news, e-books and YouTube. Data processing consists of four stages, namely data input, coding, visualization, and determining conclusions. Data processing uses the NVivo 12 Plus software. The results of the research succeeded in providing an overview of the six challenges and seven strategies needed to compete in the era of society 5.0. The implication is that the research results can be used as a reference for auditors to prepare themselves for the Era of Society 5.0.
LOCAL GOVERNMENT FINANCIAL REPORTS: UTILISATION OF INFORMATION TECHNOLOGY AND IMPLEMENTATION OF GOVERNMENT ACCOUNTING STANDARDS
Authors: Biyantoro Aris
Published: October 2023

Many local government financial reports are still not presenting data following the regulations and still show some irrelevancy. Therefore, this research aims at analyzing the impact of information technology (IT) and government accounting standards (GAS) implementation on the quality of local government financial reports (QLGFR). The sampling method used a sensory method. The data was collected by distributing questionnaires to 41 Regional Governments of Central Java Province. The results of the SEM-PLS test showed that IT did not affect the QLGFR. At the same time, implementing GAS positively affected the QLGFR. The results of this research had implications for the compliance of the Central Java Provincial Government with GAS which contained rules regarding the preparation of regional financial reports.
CAN CEO POWER MODERATE THE INFLUENCE OF INTERNET FINANCIAL REPORTING ON MARKET REACTIONS?
Authors: Widyaningsih Aristanti , Oksari Tiara
Published: October 2023

This research aims at determining the effect of Internet financial reporting and CEO power on market reactions and how CEO power moderates the effect of Internet financial reporting on market reactions. The research method used a quantitative approach and the sampling used a purposive sampling method to obtain 126 manufacturing sector companies listed in Indonesia. In addition, the analytical method used Moderated Regression Analysis. The test results showed that Internet financial reporting has no significant effect on market reactions, CEO power significantly affects market reactions, but CEO power could not strengthen the influence of Internet financial reporting on market reactions. The practical implications of the research results showed that Internet financial reporting helps investors obtain valuable information for decision-making.