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Background: Research on the nature and prevalence of phenomena like climate anxiety (or eco-anxiety) is increasing rapidly but there is little understanding of the conditions under which climate change worry becomes more or less likely to significantly impact mental wellbeing. Here, we considered two plausible moderators of the relationship between climate change worry and mental wellbeing: neuroticism and efficacy beliefs. Methods: Analysis was conducted with survey data gathered in six European countries in autumn 2019. Participants were recruited from universities in the participating countries using opportunity sampling. Results: We found that climate change worry is negatively related to mental wellbeing at any level of perceived efficacy. In contrast, climate change worry is only significantly related to mental wellbeing at low and average levels of neuroticism. High neuroticism appears to have a masking, rather than amplifying, role in the relationship between climate change worry and mental wellbeing. Limitations: The cross-sectional design of the study precludes verification of causal relationships among variables. The brief measure of neuroticism employed also did not allow for nuanced analysis of how different facets of neuroticism contribute to the observed interaction with climate change worry. Findings cannot be indiscriminately generalised to less privileged groups facing the worst impacts of the climate crisis. Conclusion: Our findings lend to a view that harmful impacts of climate change worry on mental wellbeing cannot simply be ascribed to dispositional traits like neuroticism. We advocate for interventions that tackle negative climate-related emotions as unique psychological stressors.

Latar Belakang : Kesehatan mulut merupakan hal yang penting dalam menjaga keseimbangan tubuh. Gigi mempunyai fungsi tersendiri yaitu untuk mengunyah, berbicara serta mempertahankan bentuk muka. Kesehatan gigi dan mulut hingga kini masih belum menjadi perhatian pertama. Akibatnya gigi berlubang atau karies menjadi masalah umum yang dihadapi sebagian besar masyarakat. Gigi yang berlubang selain tidak sehat, pasti dilihat kurang bagus, apalagi bila anak-anak sudah beranjak besar. Menurut RISKESDAS kejadian karies gigi pada usia 10-14 tahun sebesar 41,4% dan di NTT sendiri 43,9%. Hal ini menunjukan bahwa banyak anak usia dini yang mengalami karies gigi. Banyak factor yang dapat menyebabkan karies salah satunya karena perilaku pemeliharaan Kesehatan mulut. Perilaku anak menyikat gigi dengan waktu yang benar hanya sebesar 3,4-4,1%, tidak pernah mengunjungi fasilitas Kesehatan gigi 97,2%, serta pola jajan anak disekolah menjadi factor utama karies gigi pada anak.Tujuan: Untuk mengetahui tingkat kesehatan gigi dan mulut anak usia- 12 tahun Kususnya Molar Pertama Permanen pada siswa kelas V SD Inpres Liliba Kupang. Metode: Dalam penelitian yang akan digunakan, penulis menggunakan penelitian jenis deskriptif yaitu suatu metode penelitian yang dilakukan dengan tujuan utamanya melakukan survei atau deskripsi tentang suatu keadaan secara objektif. Hasil : Penelitihan menunjukan bahwa tingkat kebersihan gigi dan mulut termasuk kriteria baik sebanyak (82%). tingkat kejadian karies gigi molar satu permanen rata-rata 1 gigi yang mengalami karies,sedangkan gigi yang tidak berkaries sebanyak 3 gigi. Preformen treatmend indeks (PTI) belum ada gigi yang ditumpat atau melakukan penambalan. Tingkat kebutuhan perawatan gigi (RTI) rata-rata 1 gigi. Missing Teeth Indeks (MTI) tidak ada gigi yang di cabut atau indikasi pencabutan.

The transport sector contributes heavily to the global GHG emissions, due to heavy reliance on fossil fuels. Decarbonization of this sector is essential to reach net zero 2030 goals. This study evaluates the potential environmental impacts of implementing Hydrothermal Liq-uefaction (HTL) with Bioenergy with Carbon Capture and Utilization (BECCU) to produce Advanced Biofuel (ABF) from biomass in Western Europe by the year 2030. The biomass considered in this study is wood chips produced from logging residues. A consequential LCA (cLCA) was conducted to identify environmental impacts across impact categories like Global Warming Potential (GWP), Terrestrial Acidification (TA), Marine eutrophication (ME), Freshwater Eutrophication (FE), Mineral Resource Scarcity (MRS), Fossil Resource Scarcity (FRS), Water consumption (WC) and Land Use (LU). The results reveal that The HTL plat-form has great potential to reduce emissions although the environmental performance heav-ily depends on the background systems, mainly the source of hydrogen and its electricity consumption and the biomass supply chain. Additionally, a sensitivity analysis of biomass supply chain lengths revealed that an increase in transport distances, modes and time exacerbates the impacts further. This study contributes to a comprehensive perception of the environmental trade-offs of bio-fuel production and highlights the importance of considering environmental impacts beyond GWP while evaluating bioenergy systems., Transportsektorn bidrar kraftigt till de globala växthusgasutsläppen, på grund av stort be-roende på fossila bränslen. Avkarbonisering av denna sektor är avgörande för att nå netto-noll 2030-målen. Denna studie av de potentiella miljöeffekterna av att implementera Hyd-rothermal Liquefac- tion (HTL) med Bioenergy with Carbon Capture and Utilization (BEC-CU) för att producera ad- förstärkt biobränslen (ABF) från biomassa i Västeuropa till år 2030. Biomassan beaktas i denna studie är flis framställd av avverkningsrester. En följd-tial LCA (cLCA) genomfördes för att identifiera miljöpåverkan över påverkanskategorier som Global Warming Potential (GWP), Terrestrial Acidification (TA), marin eutrofiering (ME), Sötvatteneutrofiering (FE), Mineral Resource Scarcity (MRS), Fossil Resource Knapp-het (FRS), Vattenförbrukning (WC) och Markanvändning (LU). Resultaten avslöjar att The HTL-plattformen har stor potential att minska utsläppen även om miljöprestanda- mance är starkt beroende av bakgrundssystemen, främst vätekällan och dess elförbrukning och bio-massaförsörjningskedjan. Dessutom en känslighetsanalys av biomassa leveranskedjan läng-der avslöjade att en ökning av transportavstånd, transportsätt och tiden förvärrar effekterna ytterligare. Denna studie bidrar till en övergripande uppfattning om miljömässiga avvägningar av bio-bränsleproduktion och framhåller vikten av att beakta miljöpåverkan bortom GWP samti-digt som man utvärderar bioenergisystem.

Latar Belakang : Kesehatan mulut merupakan hal yang penting dalam menjaga keseimbangan tubuh. Gigi mempunyai fungsi tersendiri yaitu untuk mengunyah, berbicara serta mempertahankan bentuk muka. Kesehatan gigi dan mulut hingga kini masih belum menjadi perhatian pertama. Akibatnya gigi berlubang atau karies menjadi masalah umum yang dihadapi sebagian besar masyarakat. Gigi yang berlubang selain tidak sehat, pasti dilihat kurang bagus, apalagi bila anak-anak sudah beranjak besar. Menurut RISKESDAS kejadian karies gigi pada usia 10-14 tahun sebesar 41,4% dan di NTT sendiri 43,9%. Hal ini menunjukan bahwa banyak anak usia dini yang mengalami karies gigi. Banyak factor yang dapat menyebabkan karies salah satunya karena perilaku pemeliharaan Kesehatan mulut. Perilaku anak menyikat gigi dengan waktu yang benar hanya sebesar 3,4-4,1%, tidak pernah mengunjungi fasilitas Kesehatan gigi 97,2%, serta pola jajan anak disekolah menjadi factor utama karies gigi pada anak.Tujuan: Untuk mengetahui tingkat kesehatan gigi dan mulut anak usia- 12 tahun Kususnya Molar Pertama Permanen pada siswa kelas V SD Inpres Liliba Kupang. Metode: Dalam penelitian yang akan digunakan, penulis menggunakan penelitian jenis deskriptif yaitu suatu metode penelitian yang dilakukan dengan tujuan utamanya melakukan survei atau deskripsi tentang suatu keadaan secara objektif. Hasil : Penelitihan menunjukan bahwa tingkat kebersihan gigi dan mulut termasuk kriteria baik sebanyak (82%). tingkat kejadian karies gigi molar satu permanen rata-rata 1 gigi yang mengalami karies,sedangkan gigi yang tidak berkaries sebanyak 3 gigi. Preformen treatmend indeks (PTI) belum ada gigi yang ditumpat atau melakukan penambalan. Tingkat kebutuhan perawatan gigi (RTI) rata-rata 1 gigi. Missing Teeth Indeks (MTI) tidak ada gigi yang di cabut atau indikasi pencabutan.

The transport sector contributes heavily to the global GHG emissions, due to heavy reliance on fossil fuels. Decarbonization of this sector is essential to reach net zero 2030 goals. This study evaluates the potential environmental impacts of implementing Hydrothermal Liq-uefaction (HTL) with Bioenergy with Carbon Capture and Utilization (BECCU) to produce Advanced Biofuel (ABF) from biomass in Western Europe by the year 2030. The biomass considered in this study is wood chips produced from logging residues. A consequential LCA (cLCA) was conducted to identify environmental impacts across impact categories like Global Warming Potential (GWP), Terrestrial Acidification (TA), Marine eutrophication (ME), Freshwater Eutrophication (FE), Mineral Resource Scarcity (MRS), Fossil Resource Scarcity (FRS), Water consumption (WC) and Land Use (LU). The results reveal that The HTL plat-form has great potential to reduce emissions although the environmental performance heav-ily depends on the background systems, mainly the source of hydrogen and its electricity consumption and the biomass supply chain. Additionally, a sensitivity analysis of biomass supply chain lengths revealed that an increase in transport distances, modes and time exacerbates the impacts further. This study contributes to a comprehensive perception of the environmental trade-offs of bio-fuel production and highlights the importance of considering environmental impacts beyond GWP while evaluating bioenergy systems., Transportsektorn bidrar kraftigt till de globala växthusgasutsläppen, på grund av stort be-roende på fossila bränslen. Avkarbonisering av denna sektor är avgörande för att nå netto-noll 2030-målen. Denna studie av de potentiella miljöeffekterna av att implementera Hyd-rothermal Liquefac- tion (HTL) med Bioenergy with Carbon Capture and Utilization (BEC-CU) för att producera ad- förstärkt biobränslen (ABF) från biomassa i Västeuropa till år 2030. Biomassan beaktas i denna studie är flis framställd av avverkningsrester. En följd-tial LCA (cLCA) genomfördes för att identifiera miljöpåverkan över påverkanskategorier som Global Warming Potential (GWP), Terrestrial Acidification (TA), marin eutrofiering (ME), Sötvatteneutrofiering (FE), Mineral Resource Scarcity (MRS), Fossil Resource Knapp-het (FRS), Vattenförbrukning (WC) och Markanvändning (LU). Resultaten avslöjar att The HTL-plattformen har stor potential att minska utsläppen även om miljöprestanda- mance är starkt beroende av bakgrundssystemen, främst vätekällan och dess elförbrukning och bio-massaförsörjningskedjan. Dessutom en känslighetsanalys av biomassa leveranskedjan läng-der avslöjade att en ökning av transportavstånd, transportsätt och tiden förvärrar effekterna ytterligare. Denna studie bidrar till en övergripande uppfattning om miljömässiga avvägningar av bio-bränsleproduktion och framhåller vikten av att beakta miljöpåverkan bortom GWP samti-digt som man utvärderar bioenergisystem.

Latar Belakang : Kesehatan mulut merupakan hal yang penting dalam menjaga keseimbangan tubuh. Gigi mempunyai fungsi tersendiri yaitu untuk mengunyah, berbicara serta mempertahankan bentuk muka. Kesehatan gigi dan mulut hingga kini masih belum menjadi perhatian pertama. Akibatnya gigi berlubang atau karies menjadi masalah umum yang dihadapi sebagian besar masyarakat. Gigi yang berlubang selain tidak sehat, pasti dilihat kurang bagus, apalagi bila anak-anak sudah beranjak besar. Menurut RISKESDAS kejadian karies gigi pada usia 10-14 tahun sebesar 41,4% dan di NTT sendiri 43,9%. Hal ini menunjukan bahwa banyak anak usia dini yang mengalami karies gigi. Banyak factor yang dapat menyebabkan karies salah satunya karena perilaku pemeliharaan Kesehatan mulut. Perilaku anak menyikat gigi dengan waktu yang benar hanya sebesar 3,4-4,1%, tidak pernah mengunjungi fasilitas Kesehatan gigi 97,2%, serta pola jajan anak disekolah menjadi factor utama karies gigi pada anak.Tujuan: Untuk mengetahui tingkat kesehatan gigi dan mulut anak usia- 12 tahun Kususnya Molar Pertama Permanen pada siswa kelas V SD Inpres Liliba Kupang. Metode: Dalam penelitian yang akan digunakan, penulis menggunakan penelitian jenis deskriptif yaitu suatu metode penelitian yang dilakukan dengan tujuan utamanya melakukan survei atau deskripsi tentang suatu keadaan secara objektif. Hasil : Penelitihan menunjukan bahwa tingkat kebersihan gigi dan mulut termasuk kriteria baik sebanyak (82%). tingkat kejadian karies gigi molar satu permanen rata-rata 1 gigi yang mengalami karies,sedangkan gigi yang tidak berkaries sebanyak 3 gigi. Preformen treatmend indeks (PTI) belum ada gigi yang ditumpat atau melakukan penambalan. Tingkat kebutuhan perawatan gigi (RTI) rata-rata 1 gigi. Missing Teeth Indeks (MTI) tidak ada gigi yang di cabut atau indikasi pencabutan.

Michel Foucault’s work had a strong influence not only in philosophy but also in a wide range of humanistic and social disciplines, including accounting. Notably, the first studies which brought Foucault’s thought to the attention of interdisciplinary accounting scholars were historical. This article documents how Foucault’s ideas have directly inspired accounting history scholars, how the latter have interpreted and brought Foucault’s work into their field as well as what future research paths may lie ahead. The paper offers a systematisation of how the complex ideas of Foucault have been translated into eight key themes that have provided a crucial interpretive prism to many studies in accounting history. In doing so, it assists scholars wishing to familiarise themselves with Foucault’s work and employ it in their research.

Obtaining no-regret guarantees for reinforcement learning (RL) in the case of problems with continuous state and/or action spaces is still one of the major open challenges in the field. Recently, a variety of solutions have been proposed, but besides very specific settings, the general problem remains unsolved. In this paper, we introduce a novel structural assumption on the Markov decision processes (MDPs), namely $\nu-$smoothness, that generalizes most of the settings proposed so far (e.g., linear MDPs and Lipschitz MDPs). To face this challenging scenario, we propose two algorithms for regret minimization in $\nu-$smooth MDPs. Both algorithms build upon the idea of constructing an MDP representation through an orthogonal feature map based on Legendre polynomials. The first algorithm, \textsc{Legendre-Eleanor}, archives the no-regret property under weaker assumptions but is computationally inefficient, whereas the second one, \textsc{Legendre-LSVI}, runs in polynomial time, although for a smaller class of problems. After analyzing their regret properties, we compare our results with state-of-the-art ones from RL theory, showing that our algorithms achieve the best guarantees.

We consider the problem of learning an $\varepsilon$-optimal policy in a general class of continuous-space Markov decision processes (MDPs) having smooth Bellman operators. Given access to a generative model, we achieve rate-optimal sample complexity by performing a simple, \emph{perturbed} version of least-squares value iteration with orthogonal trigonometric polynomials as features. Key to our solution is a novel projection technique based on ideas from harmonic analysis. Our~$\widetilde{\mathcal{O}}(\epsilon^{-2-d/(\nu+1)})$ sample complexity, where $d$ is the dimension of the state-action space and $\nu$ the order of smoothness, recovers the state-of-the-art result of discretization approaches for the special case of Lipschitz MDPs $(\nu=0)$. At the same time, for $\nu\to\infty$, it recovers and greatly generalizes the $\mathcal{O}(\epsilon^{-2})$ rate of low-rank MDPs, which are more amenable to regression approaches. In this sense, our result bridges the gap between two popular but conflicting perspectives on continuous-space MDPs.

The main objective of this study was to analyze, in a sample of female healthcare workers in Italy, the training needs to improve positive relationships in the healthcare organization. To better understand these needs, perceived workplace bullying and its consequences in terms of professional commitment and well-being were analyzed from a descriptive and quantitative perspective (or mixed-methods analysis). A questionnaire was completed online in a healthcare facility in northwestern Italy. The participants were 231 female employees. The quantitative data showed that, on average, the sampled population perceived a low burden of WPB. The majority of the sample expressed moderate engagement at work and moderate perception of psychological well-being. It is interesting to note that one element seemed to be overarching in the responses to the open-ended questions: communication, which emerged as a problematic element that affects the entire organization. The research data provide useful evidence for intervention in favor of an environment that helps to recognize the phenomenon and intervene in time, offering the possibility of accepting the discomfort and fatigue of healthcare workers and offering useful interventions to the individual and the team.

The aim of this paper is to evaluate the mobility of the Romanians in Vojvodina during the last one hundred years, and show that the dynamics of this population significantly changed its profile, making the use of both “historical Romanian community” and “Romanian diaspora” unfit to reflect the current state of this community. In the first part of the paper, the authors present the autochthonous Romanian community of Vojvodina until the First World War, to focus then on the influx of Romanian citizens registered after this date, who merged with the existing population. In the second part, the authors analyze the state policies of Yugoslavia, and later Serbia, towards their national minorities and foreign citizens in the country, and the effect they had on the Romanians within the borders of the country.

Climate change threatens mental health via increasing exposure to the social and economic disruptions created by extreme weather and large-scale climatic events, as well as through the anxiety associated with recognising the existential threat posed by the climate crisis. Considering the growing levels of climate change awareness across the world, negative emotions like anxiety and worry about climate-related risks are a potentially pervasive conduit for the adverse impacts of climate change on mental health. In this study, we examined how negative climate-related emotions relate to sleep and mental health among a diverse non-representative sample of individuals recruited from 25 countries, as well as a Norwegian nationally-representative sample. Overall, we found that negative climate-related emotions are positively associated with insomnia symptoms and negatively related to self-rated mental health in most countries. Our findings suggest that climate-related psychological stressors are significantly linked with mental health in many countries and draw attention to the need for cross-disciplinary research aimed at achieving rigorous empirical assessments of the unique challenge posed to mental health by negative emotional responses to climate change.

The capacity to flexibly combine words into a virtually infinite number of well-formed sentences is uniquely human and rests upon syntax (Berwick et al., 2013; Friederici, 2017). At the formal level, linguistic units are recursively combined into constituents according to syntactic rules and grammatical categorical information (Chomsky, 1995). At the neural level, neuroimaging studies support the role of Broca’s area in syntactic composition purely based on grammatical categorical information (Goucha & Friederici, 2015; Zaccarella & Friederici, 2015b). Furthermore, both the latency and attention-independent nature of the Early Left Anterior Negativity (ELAN) event-related potential (ERP) component elicited by syntactic categorical violations indicate that the analysis of syntactic categorical information is a fast and automatic process (Friederici, 2011). However, at present it remains unclear how syntactic composition takes place at the cognitive level. The present work examines how Broca’s area might incrementally build syntactic structures. Two hypotheses, namely categorical prediction or bottom-up integration, are investigated focusing on basic two-word structures, in order to highlight compositional processes while limiting extra-linguistic (e.g., working memory) demands (Pylkkänen, 2020; Zaccarella & Friederici, 2015b). Study 1 adapted a two-word ERP paradigm with syntactic categorical violations (Hasting & Kotz, 2008), shown to elicit a two-word equivalent of the ELAN component termed Early Syntactic Negativity (ESN). Study 1 successfully elicited an ESN effect with the stimulus list and timing of events employed. Study 2 tested the causal role of Broca’s area in syntactic categorical prediction, by simultaneously employing online transcranial magnetic stimulation (TMS) and ERP measures. Crucially, the ESN effect was not affected by the functional disruption of Broca’s area by TMS at the predictive stage. Study 3 tested whether evidence for syntactic categori

Item does not contain fulltext, The capacity for language is a defining property of our species, yet despite decades of research, evidence on its neural basis is still mixed and a generalized consensus is difficult to achieve. We suggest that this is partly caused by researchers defining "language" in different ways, with focus on a wide range of phenomena, properties, and levels of investigation. Accordingly, there is very little agreement among cognitive neuroscientists of language on the operationalization of fundamental concepts to be investigated in neuroscientific experiments. Here, we review chains of derivation in the cognitive neuroscience of language, focusing on how the hypothesis under consideration is defined by a combination of theoretical and methodological assumptions. We first attempt to disentangle the complex relationship between linguistics, psychology, and neuroscience in the field. Next, we focus on how conclusions that can be drawn from any experiment are inherently constrained by auxiliary assumptions, both theoretical and methodological, on which the validity of conclusions drawn rests. These issues are discussed in the context of classical experimental manipulations as well as study designs that employ novel approaches such as naturalistic stimuli and computational modeling. We conclude by proposing that a highly interdisciplinary field such as the cognitive neuroscience of language requires researchers to form explicit statements concerning the theoretical definitions, methodological choices, and other constraining factors involved in their work., 22 p.

Item does not contain fulltext, Language comprehension proceeds at a very fast pace. It is argued that context influences the speed of language comprehension by providing informative cues. How syntactic contextual information influences the processing of incoming words is, however, less known. Here we employed a masked syntactic priming paradigm in four behavioural experiments in the German language to test whether masked primes automatically influence the categorisation of nouns and verbs. We found robust syntactic priming effects with masked primes but only when verbs were morpho-syntactically marked. Furthermore, we found that, compared to baseline, primes slow down target categorisation when the relationship between prime and target is syntactically incorrect, rather than speeding it up when the relationship is syntactically correct. This argues in favour of an inhibitory nature of syntactic priming. Overall, the data indicate that humans automatically extract syntactic features from the context to guide the analysis of incoming words during online language processing., 25 p.

Nature-based solutions (NbS) are mostly seen as engineering approaches to meeting challenges of human societies under ecological stress, while also nurturing biodiversity. We argue that given the accelerating speed of environmental change, NbS design for biodiversity recovery cannot be informed by past or current conditions but must create evolutionary potential for yet unknown future biodiversity. The objective of our paper is to reconceptualizing this creative role of NbS design as artwork, building on John Dewey’s pragmatist aesthetics. We suggest that in emphasizing the aesthetic dimension of NbS, triggers, mechanisms and affordances can be harnessed that activate the co-creative potential of both humans and non-humans for cooperation, resilience, and future biodiversity. We build on recent developments, both practical and experimental, in interspecies art and design and locate these in the two dimensions of co-creation and co-evolution. As a result, we distinguish three categories of NbS as artwork, transformative art, interspecies art and exaptive art, present their main features and give some illustrations of how they may regenerate the current ways to approach and design NbS.

Background: PTEN Hamartoma Tumor Syndrome (PHTS) is a rare syndrome with a broad phenotypic spectrum, including increased risks of breast (BC, 67%-78% at age 60 years), endometrial (EC, 19%-28%), and thyroid cancer (TC, 6%-38%). Current risks are likely overestimated due to ascertainment bias. We aimed to provide more accurate and personalized cancer risks. Methods: This was a European, adult PHTS cohort study with data from medical files, registries, and/or questionnaires. Cancer risks and hazard ratios were assessed with Kaplan-Meier and Cox regression analyses, and standardized incidence ratios were calculated. Bias correction consisted of excluding cancer index cases and incident case analyses. Results: A total of 455 patients were included, including 50.5% index cases, 372 with prospective follow-up (median 6 years, interquartile range ¼ 3-10 years), and 159 of 281 females and 39 of 174 males with cancer. By age 60 years, PHTS-related cancer risk was higher in females (68.4% to 86.3%) than males (16.4% to 20.8%). Female BC risks ranged from 54.3% (95% confidence interval [CI] ¼ 43.0% to 66.4%) to 75.8% (95% CI ¼ 60.7% to 88.4%), with two- to threefold increased risks for PTEN truncating and approximately twofold for phosphatase domain variants. EC risks ranged from 6.4% (95% CI ¼ 2.1% to 18.6%) to 22.1% (95% CI ¼ 11.6% to 39.6%) and TC risks from 8.9% (95% CI ¼ 5.1% to 15.3%) to 20.5% (95% CI ¼ 11.3% to 35.4%). Colorectal cancer, renal cancer, and melanoma risks were each less than 10.0%. Conclusions: Females have a different BC risk depending on their PTEN germline variant. PHTS patients are predominantly at risk of BC (females), EC, and TC. This should be the main focus of surveillance. These lower, more unbiased and personalized risks provide guidance for optimized cancer risk management.

Determinants of the capital structure still confusing among scholars. While numerous studies have been conducted, these are often limited to firm-specific factors such as profitability, asset tangibility, growth opportunities, liquidity, size, and non-debt tax shield. However, the literature clearly points out that there are important country-specific factors that determine capital structure decisions. Arguably, studies on determinants of capital structure focusing on country-specific factors for the oil and gas industry are still missing in the literature. As such, this study serves to review the determinants of capital structure with a specific focus on country-specific factors for the oil and gas industry. This study is to provide potential avenues for future researchers specifically in the oil and gas industry. &nbsp

We prove a complexity dichotomy theorem for counting planar graph homomorphisms of domain size 3. Given any 3 by 3 real valued symmetric matrix $H$ defining a graph homomorphism from all planar graphs $G \mapsto Z_H(G)$, we completely classify the computational complexity of this problem according to the matrix $H$. We show that for every $H$, the problem is either polynomial time computable or \#P-hard. The P-time computable cases consist of precisely those that are P-time computable for general graphs (a complete classification is known) or computable by Valiant's holographic algorithm via matchgates. We also prove several results about planar graph homomorphisms for general domain size $q$. The proof uses mainly analytic arguments., Comment: 32 pages, 2 figures, accepted by STOC 2023

Since its emergence in the 1970s, interdisciplinary accounting research has sought to cultivate alternative perspectives on accounting, and to incorporate insights from other disciplines to investigate accounting practices in their social and organisational contexts. By examining interdisciplinary accounting journals as boundary objects, this study addresses the increasing challenges of the field, including the metrification of academic performance. It also seeks to provide suggestions for interdisciplinary accounting scholars to negotiate a variety of pressures while continuing to pursue the core project of interdisciplinary accounting research. We analyse articles published in three of the main interdisciplinary accounting journals, Accounting, Auditing and Accountability Journal (AAAJ), Accounting, Organizations and Society (AOS) and Critical Perspectives on Accounting (CPA), along with interviews with the editors of AAAJ and CPA. The paper offers a holistic reading of the direction of alternative interdisciplinary accounting, as reflected in the epistemological choices emerging from changes in topics, frameworks and methods in AAAJ, AOS and CPA. Through the lens of a boundary object, the study provides insights to scholars which may contribute to the development of a research agenda which responds to the current pressures while maintaining the integrity of interdisciplinary accounting research.

BACKGROUND: Endocrine disrupting chemicals (EDCs) are xenobiotics that mimic the interaction of natural hormones and alter synthesis, transport, or metabolic pathways. The prospect of EDCs causing adverse health effects in humans and wildlife has led to the development of scientific and regulatory approaches for evaluating bioactivity. This need is being addressed using high-throughput screening (HTS) in vitro approaches and computational modeling. OBJECTIVES: In support of the Endocrine Disruptor Screening Program, the U.S. Environmental Protection Agency (EPA) led two worldwide consortiums to virtually screen chemicals for their potential estrogenic and androgenic activities. Here, we describe the Collaborative Modeling Project for Androgen Receptor Activity (CoMPARA) efforts, which follows the steps of the Collaborative Estrogen Receptor Activity Prediction Project (CERAPP). METHODS: The CoMPARA list of screened chemicals built on CERAPP’s list of 32,464 chemicals to include additional chemicals of interest, as well as simulated ToxCastTM metabolites, totaling 55,450 chemical structures. Computational toxicology scientists from 25 international groups contributed 91 predictive models for binding, agonist, and antagonist activity predictions. Models were underpinned by a common training set of 1,746 chemicals compiled from a combined data set of 11 ToxCastTM/Tox21 HTS in vitro assays. RESULTS: The resulting models were evaluated using curated literature data extracted from different sources. To overcome the limitations of single-model approaches, CoMPARA predictions were combined into consensus models that provided averaged predictive accuracy of approximately 80% for the evaluation set. DISCUSSION: The strengths and limitations of the consensus predictions were discussed with example chemicals; then, the models were implemented into the free and open-source OPERA application to enable screening of new chemicals with a defined applicability domain and accuracy ass

This study explored the correlates of climate anxiety in a diverse range of national contexts. We analysed cross-sectional data gathered in 32 countries (N = 12,246). Our results show that climate anxiety is positively related to rate of exposure to information about climate change impacts, the amount of attention people pay to climate change information, and perceived descriptive norms about emotional responding to climate change. Climate anxiety was also positively linked to pro-environmental behaviours and negatively linked to mental wellbeing. Notably, climate anxiety had a significant inverse association with mental wellbeing in 31 out of 32 countries. In contrast, it had a significant association with pro-environmental behaviour in 24 countries, and with environmental activism in 12 countries. Our findings highlight contextual boundaries to engagement in environmental action as an antidote to climate anxiety, and the broad international significance of considering negative climate-related emotions as a plausible threat to wellbeing.

The Big Five Inventory-10 (BFI-10; Rammstedt & John, 2007) is one of many short versions of personality inventories that measure the Big Five trait dimensions. Short versions of scales often present methodological challenges as a trade-off for their convenience. Based on samples from 28 countries (N = 10,560), the current study investigated inter-item correlations estimated using Omega coefficients within each of the five personality characteristics measured by the BFI-10. Results showed that inter-item correlations were significantly lower, in the sample data from non-Western countries compared with the Western countries, for three of the five personality traits, specifically Conscientiousness, Extraversion, and Emotional Stability. Our findings indicate that the psychometric challenges exist across different cultures and traits. We offer recommendations when using short-item scales such as BFI-10 in survey research.

White tail disease caused by Macrobrachium rosenbergii nodavirus (MrNV) and extra small virus (XSV) is an infection that primarily affects giant freshwater prawns, Macrobrachium rosenbergii, which in turn causes significant economic losses in aquaculture farms worldwide. In response, different prophylactic agents have been studied to improve resistance to this infection. This meta-analysis aims to assess the effectiveness of different prophylactic agents in promoting shrimp survival. Embase, Google Scholar, PubMed, and Scopus search engines were used to search for relevant articles from 2000 to 2022. Articles were screened to only select articles studying crustaceans being given prophylaxis before the disease challenge. Treatments were analyzed on overall survival, and we performed subgroup analysis of treatment type, administration routes, treatment incubation time pre-infection, and whether the prophylactic agents were derived from MrNV, XSV, or a mixture of both. Between the 3 major prophylaxis types, DNA/RNA prophylaxis, viral protein-based prophylaxis, and supplements, all conferred protection against MrNV infection, though no differences between groups were observed. A shorter incubation period (≤ 7 days) conferred better protection, and prophylactic agents from MrNV origin were found to be more effective. A high degree of heterogeneity was detected between studies, necessitating future large-scale studies addressing possible bias.

The Harvey rat sarcoma (HRAS) proto-oncogene belongs to the RAS family and is one of the pathogenic genes that cause cancer. Deleterious nsSNPs might have adverse consequences at the protein level. This study aimed to investigate deleterious nsSNPs in the HRAS gene in predicting structural alterations associated with mutants that disrupt normal protein–protein interactions. Functional and structural analysis was employed in analyzing the HRAS nsSNPs. Putative post-translational modification sites and the changes in protein–protein interactions, which included a variety of signal cascades, were also investigated. Five different bioinformatics tools predicted 33 nsSNPs as “pathogenic” or “harmful”. Stability analysis predicted rs1554885139, rs770492627, rs1589792804, rs730880460, rs104894227, rs104894227, and rs121917759 as unstable. Protein–protein interaction analysis revealed that HRAS has a hub connecting three clusters consisting of 11 proteins, and changes in HRAS might cause signal cascades to dissociate. Furthermore, Kaplan–Meier bioinformatics analyses indicated that the HRAS gene deregulation affected the overall survival rate of patients with breast cancer, leading to prognostic significance. Thus, based on these analyses, our study suggests that the reported nsSNPs of HRAS may serve as potential targets for different proteomic studies, diagnoses, and therapeutic interventions focusing on cancer.

White tail disease caused by Macrobrachium rosenbergii nodavirus (MrNV) and extra small virus (XSV) is an infection that primarily affects giant freshwater prawns, Macrobrachium rosenbergii, which in turn causes significant economic losses in aquaculture farms worldwide. In response, different prophylactic agents have been studied to improve resistance to this infection. This meta-analysis aims to assess the effectiveness of different prophylactic agents in promoting shrimp survival. Embase, Google Scholar, PubMed, and Scopus search engines were used to search for relevant articles from 2000 to 2022. Articles were screened to only select articles studying crustaceans being given prophylaxis before the disease challenge. Treatments were analyzed on overall survival, and we performed subgroup analysis of treatment type, administration routes, treatment incubation time pre-infection, and whether the prophylactic agents were derived from MrNV, XSV, or a mixture of both. Between the 3 major prophylaxis types, DNA/RNA prophylaxis, viral protein-based prophylaxis, and supplements, all conferred protection against MrNV infection, though no differences between groups were observed. A shorter incubation period (≤ 7 days) conferred better protection, and prophylactic agents from MrNV origin were found to be more effective. A high degree of heterogeneity was detected between studies, necessitating future large-scale studies addressing possible bias.

The Harvey rat sarcoma (HRAS) proto-oncogene belongs to the RAS family and is one of the pathogenic genes that cause cancer. Deleterious nsSNPs might have adverse consequences at the protein level. This study aimed to investigate deleterious nsSNPs in the HRAS gene in predicting structural alterations associated with mutants that disrupt normal protein–protein interactions. Functional and structural analysis was employed in analyzing the HRAS nsSNPs. Putative post-translational modification sites and the changes in protein–protein interactions, which included a variety of signal cascades, were also investigated. Five different bioinformatics tools predicted 33 nsSNPs as “pathogenic” or “harmful”. Stability analysis predicted rs1554885139, rs770492627, rs1589792804, rs730880460, rs104894227, rs104894227, and rs121917759 as unstable. Protein–protein interaction analysis revealed that HRAS has a hub connecting three clusters consisting of 11 proteins, and changes in HRAS might cause signal cascades to dissociate. Furthermore, Kaplan–Meier bioinformatics analyses indicated that the HRAS gene deregulation affected the overall survival rate of patients with breast cancer, leading to prognostic significance. Thus, based on these analyses, our study suggests that the reported nsSNPs of HRAS may serve as potential targets for different proteomic studies, diagnoses, and therapeutic interventions focusing on cancer.

De economische en nationale veiligheidsbelangen van Nederland worden beide gediend door snel toegang tot de eerste generaties van grotere operationele quantumcomputers. Het leveren van een sleutelbijdrage aan een Europees project voor het bouwen van deze quantumcomputers lijkt daarvoor het beste middel., https://ibestuur.nl/podium/profiteren-van-de-toekomstige-quantumcomputers, Ethics & Philosophy of Technology

The gastrointestinal (GI) microbiota is a group of complex and dynamic microorganisms present in the GI tract of an organism that live in symbiosis with the host and benefit the host with various biological functions.The communities of GI microbiota are formed by various aerobic, anaerobic, and facultatively anaerobic bacteria in aquatic species. In spiny lobsters, common GI microorganisms found in the GI tract are Vibrio, Pseudomonas, Bacillus, Micrococcus, and Flavobacterium, where the structure and abundance of these microbes are varied depending on the environment.GI microbiotas hold an important role and significantly affect the overall condition of spiny lobsters, such as secreting digestive enzymes (lipase, protease, and cellulase), helping in digesting food intake, providing nutrition and synthesising vitamins needed by the host system, and protecting the host against infection from pathogens and diseases by activating an immune mechanism in the GI tract.The microorganisms in the water column, sediment, and diet are primarily responsible for altering, manipulating, and shaping GI microbial structures and communities.This review also highlights the possibilities of isolating the indigenous GI microbiota as a potential probiotic strain and introducing it to spiny lobster juveniles and larvae for better health management., source:https://doi.org/10.3390/fishes7030108, source:https://www.mdpi.com

This study explored the correlates of climate anxiety in a diverse range of national contexts. We analysed cross-sectional data gathered in 32 countries (N = 12,246). Our results show that climate anxiety is positively related to rate of exposure to information about climate change impacts, the amount of attention people pay to climate change information, and perceived descriptive norms about emotional responding to climate change. Climate anxiety was also positively linked to pro-environmental behaviours and negatively linked to mental wellbeing. Notably, climate anxiety had a significant inverse association with mental wellbeing in 31 out of 32 countries. In contrast, it had a significant association with pro-environmental behaviour in 24 countries, and with environmental activism in 12 countries. Our findings highlight contextual boundaries to engagement in environmental action as an antidote to climate anxiety, and the broad international significance of considering negative climate-related emotions as a plausible threat to wellbeing. © 2022 The Authors

This study explored the correlates of climate anxiety in a diverse range of national contexts. We analysed cross-sectional data gathered in 32 countries (N = 12,246). Our results show that climate anxiety is positively related to rate of exposure to information about climate change impacts, the amount of attention people pay to climate change information, and perceived descriptive norms about emotional responding to climate change. Climate anxiety was also positively linked to pro-environmental behaviours and negatively linked to mental wellbeing. Notably, climate anxiety had a significant inverse association with mental wellbeing in 31 out of 32 countries. In contrast, it had a significant association with pro-environmental behaviour in 24 countries, and with environmental activism in 12 countries. Our findings highlight contextual boundaries to engagement in environmental action as an antidote to climate anxiety, and the broad international significance of considering negative climate-related emotions as a plausible threat to wellbeing. © 2022 The Authors

Mario Caccese,1 Silvia Imbevaro,2 Alessandra Feltrin,3 Daniela Costardi,4 Nadia Giordano,5 Maristella Maran,1 Rosalba Martino,1 Ketti Ottolitri,6 Malihe Shams,3 Federica Vascon,7 Anna Roma,5 Antonella Galiano,1 Marco Maruzzo,1 Dario Marino,1 Giuseppe Lombardi,1 Sara Lonardi,5 Antonella Brunello,1 Vittorina Zagonel1 1Department of Oncology, Oncology 1, Veneto Institute of Oncology IOV - IRCCS, Padua, Italy; 2General Directorate, Accreditation and Acknowledgment Unit, Veneto Institute of Oncolog IOV - IRCCS, Padua, Italy; 3Health Department, Psycho-Oncology Unit, Veneto Institute of Oncology IOV - IRCCS, Padua, Italy; 4Scientific Directorate, Patient Education and Empowerment, Veneto Institute of Oncology IOV - IRCCS, Padua, Italy; 5Department of Oncology, Oncology 3, Veneto Institute of Oncology IOV - IRCCS, Padua, Italy; 6Health Department, Clinical Risk Office, Veneto Institute of Oncology IOV - IRCCS, Padua, Italy; 7Department of Imaging and Health Physics, Radiotherapy Unit, Veneto Institute of Oncology IOV - IRCCS, Padua, ItalyCorrespondence: Mario Caccese, Department of Oncology, Oncology 1, Veneto Institute of Oncology IOV - IRCCS, Via Gattamelata, 64, Padua, 35128, Italy, Email mario.caccese@iov.Veneto.itPurpose: The SARS-CoV-2 spread has impacted Healthcare systems. COVID-19 pandemic has had consequences for patients with cancer, being associated with delays in diagnosis, in treatment And follow-up care, increase in overall infection rates and higher mortality. A survey on COVID-19 and a vaccination-questionnaire were developed at different times of the outbreak, to evaluate cancer patient-reported experience measures (PREMs) on the policies implemented to reduce the infection from SARS-CoV-2 and on the timing and methods of COVID-19 vaccination.Patients and Methods: The survey was distributed to all patients accessing the Institute during the “first-wave” Of the pandemic, evaluating patients’ concerns about the pandemic, the pandemics’ consequences

The gastrointestinal (GI) microbiota is a group of complex and dynamic microorganisms present in the GI tract of an organism that live in symbiosis with the host and benefit the host with various biological functions.The communities of GI microbiota are formed by various aerobic, anaerobic, and facultatively anaerobic bacteria in aquatic species. In spiny lobsters, common GI microorganisms found in the GI tract are Vibrio, Pseudomonas, Bacillus, Micrococcus, and Flavobacterium, where the structure and abundance of these microbes are varied depending on the environment.GI microbiotas hold an important role and significantly affect the overall condition of spiny lobsters, such as secreting digestive enzymes (lipase, protease, and cellulase), helping in digesting food intake, providing nutrition and synthesising vitamins needed by the host system, and protecting the host against infection from pathogens and diseases by activating an immune mechanism in the GI tract.The microorganisms in the water column, sediment, and diet are primarily responsible for altering, manipulating, and shaping GI microbial structures and communities.This review also highlights the possibilities of isolating the indigenous GI microbiota as a potential probiotic strain and introducing it to spiny lobster juveniles and larvae for better health management., source:https://doi.org/10.3390/fishes7030108, source:https://www.mdpi.com

Ketersediaan air yang terjangkau dan berkelanjutan menjadi bagian terpenting bagi setiap individu baik yang tinggal di perkotaan maupun di Pedesaan. Hasil survei awal diketahaui bahwa air kali dendeng pemanfaatannya cukup besar bagi warga untuk aktifitas mandi, cuci, masak dan kakus warga yang tinggal pada bantaran kali baik daerah hilir, tengah dan hulu. Berbagai aktifitas warga yang secara sadar maupun tidak sadar memanfaatkan air kali dendeng sehingga memungkinkan terjadinya pencemaran. Penelitian dilakukan dengan menggunakan metode survei, analisa laboratorium, pemeriksaan dan pemantauan di lokasi kegiatan guna mendapatkan gambaran tentang potensi pencemaran air kali dendeng. Hasil penelitian menunjukkan debit air kali dendeng yang diambil pada tiga titik pengukuran di aliran air kali dendeng didapatkan debit alirannya pada titik I sebesar 5,27 m3/detik, titik II sebesar 3,09 m3/detik dan titik III sebesar 1,02 m3/detik; kualitas bakteriologi (E. coli) air kali dendeng pada pada titik I sebesar 75 MPN/100 ml, titik II sebesar 39 MPN/100 ml dan titik III sebesar 3 MPN/100 ml; kualitas perairan (Indek Biologi) air kali dendeng berdasarkan indeks biologinya dikategorikan sebagai pencemaran berat; kualitas bakteriologisnya memenuhi syarat, kualitas BOD, COD dan TSS nya tidak memenuhi syarat, sedangkan kualitas pH dan suhu dikategorikan memenuhi syarat. Untuk itu, diharapkan agar menjaga kebersihan dan kelestarian air kali dendeng ini dengan tidak membuang sampah sembarangan terutama jenis sampah anorganik, tidak membuang limbah cair secara langsung ke aliran air kali dendeng dan menjaga serta memelihara fasilitas bendungan yang ada di Kali Dendeng.

Ketersediaan air yang terjangkau dan berkelanjutan menjadi bagian terpenting bagi setiap individu baik yang tinggal di perkotaan maupun di Pedesaan. Hasil survei awal diketahaui bahwa air kali dendeng pemanfaatannya cukup besar bagi warga untuk aktifitas mandi, cuci, masak dan kakus warga yang tinggal pada bantaran kali baik daerah hilir, tengah dan hulu. Berbagai aktifitas warga yang secara sadar maupun tidak sadar memanfaatkan air kali dendeng sehingga memungkinkan terjadinya pencemaran. Penelitian dilakukan dengan menggunakan metode survei, analisa laboratorium, pemeriksaan dan pemantauan di lokasi kegiatan guna mendapatkan gambaran tentang potensi pencemaran air kali dendeng. Hasil penelitian menunjukkan debit air kali dendeng yang diambil pada tiga titik pengukuran di aliran air kali dendeng didapatkan debit alirannya pada titik I sebesar 5,27 m3/detik, titik II sebesar 3,09 m3/detik dan titik III sebesar 1,02 m3/detik; kualitas bakteriologi (E. coli) air kali dendeng pada pada titik I sebesar 75 MPN/100 ml, titik II sebesar 39 MPN/100 ml dan titik III sebesar 3 MPN/100 ml; kualitas perairan (Indek Biologi) air kali dendeng berdasarkan indeks biologinya dikategorikan sebagai pencemaran berat; kualitas bakteriologisnya memenuhi syarat, kualitas BOD, COD dan TSS nya tidak memenuhi syarat, sedangkan kualitas pH dan suhu dikategorikan memenuhi syarat. Untuk itu, diharapkan agar menjaga kebersihan dan kelestarian air kali dendeng ini dengan tidak membuang sampah sembarangan terutama jenis sampah anorganik, tidak membuang limbah cair secara langsung ke aliran air kali dendeng dan menjaga serta memelihara fasilitas bendungan yang ada di Kali Dendeng.

Autoregressive processes naturally arise in a large variety of real-world scenarios, including stock markets, sales forecasting, weather prediction, advertising, and pricing. When facing a sequential decision-making problem in such a context, the temporal dependence between consecutive observations should be properly accounted for guaranteeing convergence to the optimal policy. In this work, we propose a novel online learning setting, namely, Autoregressive Bandits (ARBs), in which the observed reward is governed by an autoregressive process of order $k$, whose parameters depend on the chosen action. We show that, under mild assumptions on the reward process, the optimal policy can be conveniently computed. Then, we devise a new optimistic regret minimization algorithm, namely, AutoRegressive Upper Confidence Bound (AR-UCB), that suffers sublinear regret of order $\widetilde{\mathcal{O}} \left( \frac{(k+1)^{3/2}\sqrt{nT}}{(1-\Gamma)^2}\right)$, where $T$ is the optimization horizon, $n$ is the number of actions, and $\Gamma < 1$ is a stability index of the process. Finally, we empirically validate our algorithm, illustrating its advantages w.r.t. bandit baselines and its robustness to misspecification of key parameters., Comment: Accepted to AISTATS 2024

Behavioral Cloning (BC) aims at learning a policy that mimics the behavior demonstrated by an expert. The current theoretical understanding of BC is limited to the case of finite actions. In this paper, we study BC with the goal of providing theoretical guarantees on the performance of the imitator policy in the case of continuous actions. We start by deriving a novel bound on the performance gap based on Wasserstein distance, applicable for continuous-action experts, holding under the assumption that the value function is Lipschitz continuous. Since this latter condition is hardy fulfilled in practice, even for Lipschitz Markov Decision Processes and policies, we propose a relaxed setting, proving that value function is always Holder continuous. This result is of independent interest and allows obtaining in BC a general bound for the performance of the imitator policy. Finally, we analyze noise injection, a common practice in which the expert action is executed in the environment after the application of a noise kernel. We show that this practice allows deriving stronger performance guarantees, at the price of a bias due to the noise addition.

Ketersediaan air yang terjangkau dan berkelanjutan menjadi bagian terpenting bagi setiap individu baik yang tinggal di perkotaan maupun di Pedesaan. Hasil survei awal diketahaui bahwa air kali dendeng pemanfaatannya cukup besar bagi warga untuk aktifitas mandi, cuci, masak dan kakus warga yang tinggal pada bantaran kali baik daerah hilir, tengah dan hulu. Berbagai aktifitas warga yang secara sadar maupun tidak sadar memanfaatkan air kali dendeng sehingga memungkinkan terjadinya pencemaran. Penelitian dilakukan dengan menggunakan metode survei, analisa laboratorium, pemeriksaan dan pemantauan di lokasi kegiatan guna mendapatkan gambaran tentang potensi pencemaran air kali dendeng. Hasil penelitian menunjukkan debit air kali dendeng yang diambil pada tiga titik pengukuran di aliran air kali dendeng didapatkan debit alirannya pada titik I sebesar 5,27 m3/detik, titik II sebesar 3,09 m3/detik dan titik III sebesar 1,02 m3/detik; kualitas bakteriologi (E. coli) air kali dendeng pada pada titik I sebesar 75 MPN/100 ml, titik II sebesar 39 MPN/100 ml dan titik III sebesar 3 MPN/100 ml; kualitas perairan (Indek Biologi) air kali dendeng berdasarkan indeks biologinya dikategorikan sebagai pencemaran berat; kualitas bakteriologisnya memenuhi syarat, kualitas BOD, COD dan TSS nya tidak memenuhi syarat, sedangkan kualitas pH dan suhu dikategorikan memenuhi syarat. Untuk itu, diharapkan agar menjaga kebersihan dan kelestarian air kali dendeng ini dengan tidak membuang sampah sembarangan terutama jenis sampah anorganik, tidak membuang limbah cair secara langsung ke aliran air kali dendeng dan menjaga serta memelihara fasilitas bendungan yang ada di Kali Dendeng.

Ketersediaan air yang terjangkau dan berkelanjutan menjadi bagian terpenting bagi setiap individu baik yang tinggal di perkotaan maupun di Pedesaan. Hasil survei awal diketahaui bahwa air kali dendeng pemanfaatannya cukup besar bagi warga untuk aktifitas mandi, cuci, masak dan kakus warga yang tinggal pada bantaran kali baik daerah hilir, tengah dan hulu. Berbagai aktifitas warga yang secara sadar maupun tidak sadar memanfaatkan air kali dendeng sehingga memungkinkan terjadinya pencemaran. Penelitian dilakukan dengan menggunakan metode survei, analisa laboratorium, pemeriksaan dan pemantauan di lokasi kegiatan guna mendapatkan gambaran tentang potensi pencemaran air kali dendeng. Hasil penelitian menunjukkan debit air kali dendeng yang diambil pada tiga titik pengukuran di aliran air kali dendeng didapatkan debit alirannya pada titik I sebesar 5,27 m3/detik, titik II sebesar 3,09 m3/detik dan titik III sebesar 1,02 m3/detik; kualitas bakteriologi (E. coli) air kali dendeng pada pada titik I sebesar 75 MPN/100 ml, titik II sebesar 39 MPN/100 ml dan titik III sebesar 3 MPN/100 ml; kualitas perairan (Indek Biologi) air kali dendeng berdasarkan indeks biologinya dikategorikan sebagai pencemaran berat; kualitas bakteriologisnya memenuhi syarat, kualitas BOD, COD dan TSS nya tidak memenuhi syarat, sedangkan kualitas pH dan suhu dikategorikan memenuhi syarat. Untuk itu, diharapkan agar menjaga kebersihan dan kelestarian air kali dendeng ini dengan tidak membuang sampah sembarangan terutama jenis sampah anorganik, tidak membuang limbah cair secara langsung ke aliran air kali dendeng dan menjaga serta memelihara fasilitas bendungan yang ada di Kali Dendeng.

We study the problem of counting all cycles or self-avoiding walks (SAWs) on triangulated planar graphs. We present a subexponential $2^{O(\sqrt{n})}$ time algorithm for this counting problem. Among the technical ingredients used in this algorithm are the planar separator theorem and a delicate analysis using pairs of Motzkin paths and Motzkin numbers. We can then adapt this algorithm to uniformly sample SAWs, in subexponential time. Our work is motivated by the problem of gerrymandered districting maps., Comment: 28 pages, 6 figures, COCOON 2022

Background: HIV treatment prescription is a complex process. Clinical decision support systems (CDSS) are a category of health information technologies that can assist clinicians to choose optimal treatments based on clinical trials and expert knowledge. The usability of some CDSSs for HIV treatment would be significantly improved by using the knowledge obtained by treating other patients. This knowledge, however, is mainly contained in patient records, whose usage is restricted due to privacy and confidentiality constraints. Methods: A treatment effectiveness measure, containing valuable information for HIV treatment prescription, was defined and a method to extract this measure from patient records was developed. This method uses an advanced cryptographic technology, known as secure Multiparty Computation (henceforth referred to as MPC), to preserve the privacy of the patient records and the confidentiality of the clinicians’ decisions. Findings: Our solution enables to compute an effectiveness measure of an HIV treatment, the average time-to-treatment-failure, while preserving privacy. Experimental results show that our solution, although at proof-of-concept stage, has good efficiency and provides a result to a query within 24 min for a dataset of realistic size. Interpretation: This paper presents a novel and efficient approach HIV clinical decision support systems, that harnesses the potential and insights acquired from treatment data, while preserving the privacy of patient records and the confidentiality of clinician decisions.