Specific Rank Research Articles

Target controllability: a feed-forward greedy algorithm in complex networks, meeting Kalman's rank condition.

The concept of controllability within complex networks is pivotal in determining the minimal set of driver vertices required for the exertion of external signals, thereby enabling control over the entire network's vertices. Target controllability further refines this concept by focusing on a subset of vertices within the network as the specific targets for control, both of which are known to be NP-hard problems. Crucially, the effectiveness of the driver set in achieving control of the network is contingent upon satisfying a specific rank condition, as introduced by Kalman. On the other hand, structural controllability provides a complementary approach to understanding network control, emphasizing the identification of driver vertices based on the network's structural properties. However, in structural controllability approaches, the Kalman condition may not always be satisfied. In this study, we address the challenge of target controllability by proposing a feed-forward greedy algorithm designed to efficiently handle large networks while meeting the Kalman controllability rank condition. We further enhance our method's efficacy by integrating it with Barabasi et al.'s structural controllability approach. This integration allows for a more comprehensive control strategy, leveraging both the dynamical requirements specified by Kalman's rank condition and the structural properties of the network. Empirical evaluation across various network topologies demonstrates the superior performance of our algorithms compared to existing methods, consistently requiring fewer driver vertices for effective control. Additionally, our method's application to protein-protein interaction networks associated with breast cancer reveals potential drug repurposing candidates, underscoring its biomedical relevance. This study highlights the importance of addressing both structural and dynamical aspects of network controllability for advancing control strategies in complex systems. The source code is available for free at:Https://github.com/fatemeKhezry/targetControllability.

Hierarchies inferred from different agonistic behaviours are not always comparable.

Social hierarchies are widely used to predict life-history patterns and priority of access to resources. Yet, behavioural ecology and social sciences lack a consistent relationship between specific behaviours and social rank across studies. I used published data sets from 42 groups of 25 species representing several taxa to determine whether hierarchies inferred from different behaviours are similar or (in)consistently different at both individual and group levels. Ranks inferred from yielding interactions in the absence of aggression ('ritualized') were often comparable to ranks inferred from decided aggression (unambiguous outcome) but not to ranks inferred from undecided aggression. Accordingly, hierarchies inferred from data sets including only decided interactions were steeper than those inferred from data sets including undecided aggression. These results support the hypothesis that aggression can be context-dependent and might reflect less stable or mutually recognized relationships than (ritualized) yielding interactions. I discuss the consequences of choosing different behaviours to infer social hierarchies and the difficulty of making generalizations from one species or taxon to another. Finally, I recommend that the use of ritualized yielding and certainly the use of decided over undecided interactions to infer social hierarchies should be preferred, especially in comparative studies which go beyond taxon-specific idiosyncrasies.

Review of Neoleptastacus Nicholls, 1945 (Harpacticoida, Arenopontiidae), including an updated key to species and proposal of Phreatipontia gen. nov.

A revision of the genus Neoleptastacus Nicholls, 1945 (Harpacticoida, Arenopontiidae) is presented, resulting in the recognition of 24 valid species. The genus is divided in five species groups based on shared morphological character states, i.e. the acanthus-, australis-, speluncae-, trisetosus- and spinicaudatus-groups with the acanthus-group being further fragmented in three subgroups (acanthus, gussoae, ornamentus). The two members of the speluncae-group, Neoleptastacus phreatica (Cottarelli, Bruno & Venanzetti, 1994) and N. speluncae (Cottarelli, Bruno & Venanzetti, 1994), are redescribed and transferred to a new genus, Phreatipontia gen. nov., that appears to have a preference for low salinity habitats. The Mediterranean N. acanthus (Chappuis, 1954) is redescribed based on material from Türkiye and considered potentially conspecific with N. huysi (Karanovic, 2000). The male specimen illustrated in the original description of N. longiremis (Chappuis, 1955) is designated as the lectotype to define the nominal taxon objectively in the likely event that females and males assigned to this inadequately described species turn out to be non-conspecific. Detailed morphological comparison of species currently allocated to the gussoae-complex revealed three new cryptic taxa from Central and South America which are accorded specific rank (N. abbreviatus sp. nov., N. chilensis sp. nov., and N. rectus sp. nov.). The taxonomic status of Arenopontia (Neoleptastacus) acantha accraensis Lang, 1965 sensu Kunz (1971) is reassessed based on material from Angola and described as N. emendatus sp. nov. The Panamanian material previously identified as N. trisetosus (Mielke, 1982) is considered to represent a distinct species, N. panamensis sp. nov. while N. pseudishikarianus sp. nov. is proposed for the Chilean “population” of N. ishikarianus (Itô, 1968). Neoleptastacus supersetosus sp. nov. is described from Kuwait, representing the first arenopontiid record from the Arabian Peninsula. Neoleptastacus secundus Krishnaswamy, 1957 and N. accraensis (Lang, 1965) are treated as species inquirendae while Arenopontia breviarticulata Mielke, 1975 is removed from its provisional position in Neoleptastacus and placed as species incertae sedis in the Arenopontiidae. Distribution data are summarized for each species and the previously assumed amphi-Panamanian and amphi-Pacific distribution patterns of N. gussoae (Cottarelli, 1973) and N. ishikarianus, respectively, are rejected. Updated keys to the 24 valid species of Neoleptastacus and the six genera currently recognized in the family are provided.

Policy iteration based cooperative linear quadratic differential games with unknown dynamics

This article investigates the Pareto optimality of infinite horizon cooperative linear quadratic (LQ) differential games by policy iteration technique where the system dynamics are partially or completely unknown. Firstly, the policy iteration algorithm for the approximate solutions of the corresponding algebraic Riccati equation (ARE) without any prior knowledge of the matrix parameters of the dynamic system is derived by collecting the input and state information of each player. Secondly, when the presented specific rank condition is satisfied, the convergence of the proposed algorithm is rigorously demonstrated by recursion. Moreover, the weighting approach is employed to obtain the Pareto optimal strategy and the Pareto optimal solutions on the basis of the convex optimization theory. Finally, simulation results are reported to verify the feasibility and correctness of the proposed theoretical results.

A behavioral syndrome of competitiveness in a non-social rodent

Animals compete for limited resources such as food, mating partners, and territory. The outcome of this intraspecific competition should be determined by individual variation in behavioral traits, such as aggressiveness and dominance status. Consistent among-individual differences in behavior likely contribute to competitiveness and predispose individuals to acquire specific dominance ranks during parts of their adult life. Nevertheless, how dominance rank is correlated with animal personality traits remains largely unclear. In a first step towards better understanding these functional links, we studied trait integration into behavioral syndromes, using 26 captive male bank voles (Myodes glareolus). We repeatedly assessed boldness in an emergence test, exploration in an open-field test, aggressiveness in staged dyadic encounters, and the among-individual correlations between these behaviors. We further related these personality traits to dominance rank, from quantifying urine marking value (UMV), as marking in bank voles is related to dominance rank. We found repeatable variations in boldness, exploration, aggressiveness, and UMV, which were correlated at the among-individual level. Aggressiveness tended to be negatively correlated with body condition, a proxy for fitness. Thus, key personality traits and social rank are functionally integrated into a behavioral syndrome of intraspecific competitiveness. By joining social and non-social aspects of personality, our findings contribute to the ecological validation of personality traits and suggest how they contribute to higher-order component traits, such as dominance which directly affect fitness components.

Targeted therapies and conventional care for the treatment of ankylosing spondylitis in China: a cost-effectiveness analysis based on the network-meta analysis

ObjectiveThis study aimed to evaluate the long-term cost-effectiveness of conventional care (CC) and seven first-line targeted therapies marketed in China for the treatment of patients with ankylosing spondylitis (AS)–namely secukinumab, ixekizumab, infliximab, etanercept, adalimumab and golimumab and tofacitinib–from the perspective of the Chinese health care system.MethodsThe York model was structured as a 12-week decision tree leading into two Markov models. This study set 1 year as a recurring cycle and a lifetime timeframe for the model. Primary model outcomes included the costs in Chinese yuan (CNY), health outcomes in quality-adjusted life-years (QALYs) and the incremental cost-effectiveness ratio (ICER) under a willingness-to-pay threshold of ¥89,358 (equal to the per capita gross domestic product in China in 2023) per QALY. Parameters in the York model were captured from network meta-analyses and literature including treatment response, short-term disease progression, patient functioning and long-term structural disease progression. Utilities are dependent on indicators such as the BASDAI score, the BASFI score, gender and age. Drug prices were analysed using the median price of the Chinese market from YAOZH net in the basic analysis. Costs and outcomes were discounted at 5.0%. We performed deterministic and probabilistic sensitivity analyses to investigate the robustness of the results. The prices of original drugs and generic drugs were used in the scenario analysis.ResultsCompared with CC, the ICER of golimumab was ¥104,217.4/QALY, which is between 1 and 3 times the GDP per capita, while the ICERs of the other six targeted therapies were less than ¥89,358/QALY. The specific economic rank of the targeted therapy was as follows:secukinumab > ixekizumab > tofacitinib > infliximab > etanercept > adalimumab > golimumab. Treatment response rates such as the BASDAI50, changes in the BASDAI/BASFI scores and the discounting rate were key model drivers. According to the scenario analysis, IL-17 inhibitors were still the most economical intervention when original drugs and generic drugs were used.ConclusionTargeted therapies are cost-effective treatments for AS. Overall, IL-17 inhibitors were the dominant treatment. The choice of the brand-new prices or generic drug prices can greatly affect economics.

Crassatella rubrolineata Turton, 1932, as a replacement name for Crassatella sowerbyi Lamy, 1917 non Wood, 1871 (Bivalvia, Crassatellidae), and a revision of Wood’s subspecies of C. sowerbyi

Resolving and disambiguating the many names given to fossil and Recent Crassatellidae is sometimes a knotty problem, exacerbated by the subtle differences between taxa and many applications of simple descriptive specific epithets (‘sulcata’, ‘rostrata’, ‘compressa’ etc.) leading to homonyms requiring resolution. The common decision to (perhaps) soften the blow of replacing someone’s name by erecting an eponym as a replacement to honour them has led to further unresolved homonyms and taxonomic ambiguities. One such case is addressed here. In this paper I resolve the homonymy of Crassatella sowerbyi Wood with Crassatella sowerbyi Lamy by replacing Lamy’s name with the available junior synonym C. rubrolineata Turton. Further, I revise the suite of taxa considered by Wood to be of subspecific rank within C. sowerbyi: I synonymise C. s. var. obesa with C. sowerbyi, and elevate C. s. var. semilaevis and C. s. var. hantoniensis to full specific rank. Detailed descriptions and illustrations are provided for all species.

Integrative taxonomy reveals inflated biodiversity in the European Temnothorax unifasciatus complex (Hymenoptera: Formicidae)

AbstractTemnothorax unifasciatus (Latreille, 1798) is a widely distributed pan‐European species from the Iberian Peninsula to the Caucasus. This taxon's relatively high morphological variability prompts the taxonomists of earlier times and today to mention the morphologically different elements at specific or subspecific ranks. This paper aims to understand the population structure and genetic diversity within this lineage via integrative taxonomy, incorporating molecular phylogenetics, species delimitation analyses and multivariate analyses of continuous morphometric data from across the geographic range of the T. unifasciatus complex. Phylogenetic analyses yielded incongruent trees. The genealogical diversity index (gdi) and the confirmatory analyses on morphological data found only weak, ambiguous delimitations within the unifasciatus complex. The most highly supported scenario splits T. brackoi from the remaining unifasciatus complex with ambiguous support (gdi = 0.56). This scenario is supported by multivariate morphometry with 100% accuracy in classification success. Instead, our results suggest complex morphological and genetic population structuring within the broad range of T. unifasciatus. Therefore, we confirm the validity of two species, T. brackoi Salata & Borowiec, 2019 and T. unifasciatus (Latreille, 1798), and propose five new junior synonymies, T. cordieri (Bondroit, 1918) syn. nov., T. tauricus (Ruzsky, 1902) syn. nov., T. berlandi (Bondroit, 1918) syn. nov., T. unifasciatus staegeri (Bondroit, 1918) syn. nov., T. tuberum ciscaucasicus (Arnol'di, 1977) syn. nov. with the latter. To achieve maximal taxonomic stability, we designated a lectotype for Temnothorax unifasciatus (Latreille, 1798).

Taxonomic Studies on Indian Guttiferae III. the Genus <I>Garcinia</I> Linn. S.l.

The paper deals with the taxonomic treatment of the genus Garcinia Linn, (including Xanthochymus Roxb.) as occurring in India. The study was undertaken with a view to enumerate the wild types of Indian Garcinias that produce the 'gummi-gutt' or gamboge of commerce and which may be utilized in the improvement of the fruit of mangosteen (G. mangostana Linn.). Thirty five species are recognized in the area, of which thirty one species occur wild ; the rest are introduced into cultivation. Ten species are restricted to the Andaman and Nicobar Islands. One Burmese species, G. loniceroides T. Anders., has been discovered in Assam. A new variety of G. echinocarpaThwaites, namely var. monticola Mahesh., is reported from southern India. These are described in detail and their synonymy, distribution, uses, vernacular names, etc. are ascertained. A key to the species is presented.G. eugeniaefolia Wall, ex T. Anders., is incorporated in G. brevirostris Scheff. G. ovalifolia Hook.f. var. macrantha T. Anders, (syn. G. malabarica Talb., non Desr.) is raised to specific rank as G. talbotii Raiz. ex Santapau. G. affinis Wall, ex Pierre, G. pictoria Roxb., and G. acuminata Planch. & Triana, are treated as distinct species. T. Anderson (1874) in the Flora of British India has united G. kydia Roxb. with G. cowa Roxb. It is concluded here that these species should be kept separate. The details are discussed in this paper.

Military Family Perspectives on Enrollment and Engagement in the WIC Program.

One in four U.S. service members endorses food insecurity. The Supplemental Nutrition Program for Women, Infants, and Children (WIC) is an invaluable, underutilized resource that can increase access to nutritious food for families with children under 5 years of age. Our research sought to evaluate military family perceptions and engagement with the WIC program. We conducted a mixed-method study, recruiting from a convenience sample of military families who applied for financial assistance for child care. An 18-question survey and follow-up focus groups assessed participant demographics and experiences with WIC. We utilized descriptive statistics ordinal logistic regression analyses for quantitative data analysis. For qualitative data, descriptive content analysis with constant comparison and inductive and deductive coding of interviews identified emerging themes. This study was approved by the Uniformed Services University of the Health Sciences Institutional Review Board. Among the 399 survey respondents, 25% were currently enrolled in WIC and 39% had been previously enrolled. Service members and their partners learned about WIC from a variety of sources, and there was no significant association between the branch of service or rank and WIC enrollment. There were 40 total participants in 10 completed focus groups. Six themes emerged: (1) Military-specific factors create unique circumstances related to WIC engagement; (2) the WIC program facilitates access to formula supplementation and nutritious foods for military families; (3) lack of program awareness and misinformation are top barriers to WIC engagement in military families; (4) stigma impacts WIC program enrollment and engagement; (5) logistics of enrollment can impact WIC engagement among military families; and (6) the military can support WIC enrollment and engagement through standardization, education, and leadership commitment. Our findings suggest that unique circumstances related to military family life create a profound need for programs addressing food support, such as WIC. Interventions to improve WIC enrollment among military families need to be rooted in broad outreach efforts, not targeted at specific ranks, branches, or ages. Specific recommendations include increasing information dissemination, universally screening military families for WIC, decreasing logistical burdens, and involving military leadership.

The General Movement Optimality Score-Revised (GMOS-R) with Socioeconomically Stratified Percentile Ranks.

Background: The general movement optimality score (GMOS) quantifies the details of general movements (GMs). We recently conducted psychometric analyses of the GMOS and developed a revised scoresheet. Consequently, the GMOS-Revised (GMOS-R) instrument necessitated validation using new percentile ranks. This study aimed to provide these percentile ranks for the GMOS-R and to investigate whether sex, preterm birth, or the infant's country of birth and residence affected the GMOS-R distribution. Methods: We applied the GMOS-R to an international sample of 1983 infants (32% female, 44% male, and 24% not disclosed), assessed in the extremely and very preterm period (10%), moderate (12%) and late (22%) preterm periods, at term (25%), and post-term age (31%). Data were grouped according to the World Bank's classification into lower- and upper-middle-income countries (LMICs and UMICs; 26%) or high-income countries (HICs; 74%), respectively. Results: We found that sex and preterm or term birth did not affect either GM classification or the GMOS-R, but the country of residence did. A lower median GMOS-R for infants with normal or poor-repertoire GMs from LMICs and UMICs compared with HICs suggests the use of specific percentile ranks for LMICs and UMICs vs. HICs. Conclusion: For clinical and scientific use, we provide a freely available GMOS-R scoring sheet, with percentile ranks reflecting socioeconomic stratification.

Circular Intuitionistic Fuzzy Median Ranking Model with a Novel Scoring Mechanism for Multiple Criteria Decision Analytics

ABSTRACT This study aims to pioneer an innovative circular intuitionistic fuzzy (C-IF) scoring-mediated median ranking model designed for multiple criteria decision analytics. The primary goal is to establish a comprehensive precedence ranking for competing alternatives, effectively addressing the inherent uncertainties present in decision-analytic challenges within the C-IF environment. The core content delves into the creation of an original scoring mechanism tailored to navigate the complexities of C-IF uncertainties. Moreover, the research introduces a specialized C-IF median ranking model for decision analytics, leveraging the foundational concept of the C-IF scoring mechanism. A significant contribution is made through the formulation of a robust implementation procedure, specifically tailored for the seamless operation of the C-IF scoring-mediated median ranking model within the framework of C-IF information. Drawing from the suggested C-IF scoring mechanism, this research introduces novel concepts related to comprehensive C-IF scoring functions and comprehensive disagreement metrics. Subsequently, a comprehensive disagreement matrix is formulated, with its entries quantifying the extent of disagreement in assigning specific ranks to each alternative across all criterion-wise precedence relationships. This paves the way for the development of a new C-IF scoring-mediated median ranking model, offering decision analysts a tool to navigate intricate C-IF information and derive dependable decision-analytic outcomes.

Defining T cell receptor repertoires using nanovial-based binding and functional screening

The ability to selectively bind to antigenic peptides and secrete effector molecules can define rare and low-affinity populations of cells with therapeutic potential in emerging T cell receptor (TCR) immunotherapies. We leverage cavity-containing hydrogel microparticles, called nanovials, each coated with peptide-major histocompatibility complex (pMHC) monomers to isolate antigen-reactive T cells. T cells are captured and activated by pMHCs inducing the secretion of effector molecules including IFN-γ and granzyme B that are accumulated on nanovials, allowing sorting based on both binding and function. The TCRs of sorted cells on nanovials are sequenced, recovering paired αβ-chains using microfluidic emulsion-based single-cell sequencing. By labeling nanovials having different pMHCs with unique oligonucleotide-barcodes and secretions with oligo-barcoded detection antibodies, we could accurately link TCR sequences to specific targets and rank each TCR based on the corresponding cell's secretion level. Using the technique, we identified an expanded repertoire of functional TCRs targeting viral antigens with high specificity and found rare TCRs with activity against cancer-specific splicing-enhanced epitopes.

On Item-Sampling Evaluation for Recommender System

Personalized recommender systems play a crucial role in modern society, especially in e-commerce, news, and ads areas. Correctly evaluating and comparing candidate recommendation models is as essential as constructing ones. The common offline evaluation strategy is holding out some user-interacted items from training data and evaluating the performance of recommendation models based on how many items they can retrieve. Specifically, for any hold-out item or so-called target item for a user, the recommendation models try to predict the probability that the user would interact with the item and rank it among overall items, which is called global evaluation . Intuitively, a good recommendation model would assign high probabilities to such hold-out/target items. Based on the specific ranks, some metrics like Recall@K and NDCG@K can be calculated to further quantify the quality of the recommender model. Instead of ranking the target items among all items, Koren first proposed to rank them among a small sampled set of items , then quantified the performance of the models, which is called sampling evaluation . Ever since then, there has been a large amount of work adopting sampling evaluation due to its efficiency and frugality. In recent work, Rendle and Krichene argued that the sampling evaluation is “inconsistent” with respect to a global evaluation in terms of offline top- K metrics. In this work, we first investigate the “inconsistent” phenomenon by taking a glance at the connections between sampling evaluation and global evaluation. We reveal the approximately linear relationship between sampling with respect to its global counterpart in terms of the top- K Recall metric. Second, we propose a new statistical perspective of the sampling evaluation—to estimate the global rank distribution of the entire population. After the estimated rank distribution is obtained, the approximation of the global metric can be further derived. Third, we extend the work of Krichene and Rendle, directly optimizing the error with ground truth, providing not only a comprehensive empirical study but also a rigorous theoretical understanding of the proposed metric estimators. To address the “blind spot” issue, where accurately estimating metrics for small top- K values in sampling evaluation is challenging, we propose a novel adaptive sampling method that generalizes the expectation-maximization algorithm to this setting. Last but not least, we also study the user sampling evaluation effect. This series of works outlines a clear roadmap for sampling evaluation and establishes a foundational theoretical framework. Extensive empirical studies validate the reliability of the sampling methods presented.

Detection of Brain Tumour in MRI Images using Deep Belief Network (DBN)

One of the world's deadliest illnesses is brain cancer. It is a cancer that often affects adults as much as children. It is the least likely species to survive, and its diversity is determined by its location, sweetness and structure. The negative effects will stem from the incorrect classification of the tumour brain. Therefore, determining the specific type and rank of the tumour in its early stages is required to select a specific treatment plan. A major concern is the elimination, segmentation and detection of tumour areas infected by magnetic resonance imaging (MRI). Despite the fact that it is a laborious and tedious task done by clinical experts or radiologists whose precision depends entirely on their experience. Computer-aided technology is becoming more and more important for circumventing these limitations. This study investigates a multi-layer Deep Belief Network (DBN) technique for MRI tumour detection. The proposed model is named as Brain Tumour Deep Belief Network (BT-DBN). The BT-DBN was tested with two datasets. The results demonstrate the importance of accuracy parameters relative to the most recent approaches. The results exhibit that the BT-DBN was effective in identifying different types of tumour tissue in MR images of the brain. The precision is 99.51%, the specificity is 94.28%, and the sensitivity is 98.72%.

Deflating invariant subspaces for rank structured pencils

It is known that executing a perfect shifted $QR$ step via the implicit $QR$ algorithm may not result in a deflation of the perfect shift. Typically, several steps are required before deflation actually takes place. This deficiency can be remedied by determining the similarity transformation via the associated eigenvector. Similar techniques have been deduced for the $QZ$ algorithm and for the rational $QZ$ algorithm. In this paper, we present a similar approach for executing a perfect shifted $QZ$ step on a general rank structured pencil instead of a specific rank structured one, e.g., a Hessenberg-Hessenberg pencil. For this, we rely on the rank structures present in the transformed matrices. A theoretical framework is presented for dealing with general rank structured pencils and deflating subspaces. We present the corresponding algorithm allowing to deflate simultaneously a block of eigenvalues rather than a single one. We define the level-$\rho$ poles and show that these poles are maintained executing the deflating algorithm. Numerical experiments illustrate the robustness of the presented approach showing the importance of using the improved scaled residual approach.

LANKESTER CATALOGUE OF COSTA RICAN ORCHIDACEAE

This study presents an updated comprehensive catalogue of the Costa Rican orchid flora. We have documented 1684 species, four subspecies, 14 natural hybrids, and seven forms across 201 genera and two nothogenera, × Bensteinia and × Cochlezella. All Orchidaceae subfamilies are represented except for Apostasioideae. The subtribe Pleurothallidinae accounts for about 35% of all the species, followed by Laeliinae (20%) and Oncidiinae (+12%). The most species-rich genera in Costa Rica are Epidendrum (245 spp.), Lepanthes (163 spp.), Stelis (109 spp.), and Pleurothallis (63 spp.). About 30% of all the species are endemic, primarily concentrated in Lepanthes (109 spp. = 67%), Epidendrum (76 spp. = 31%), Stelis (40 spp. = 37%), Telipogon (35 spp. = 88%), and Pleurothallis (31 spp. = 46%). All species are vouchered by specimens housed in major public herbaria, including CR, JBL, and USJ in Costa Rica, as well as AMES, K, SEL, US, and W, on the international scale, among others. The catalogue includes 5300 orchid names at the specific and subspecific ranks, nearly 70% of which are treated as synonyms. The new catalog presents an increase of 324 species compared to its predecessor, published twenty years ago, a net increment of almost 24%. The rise in the recorded richness of the Costa Rican orchid flora is mainly attributed to the discovery of species new to science and a lesser extent, taxa newly recorded for the country as the result of the systematic explorations carried out in Costa Rica during the present century. A phylogenetic arrangement of the genera recorded in Costa Rica, from the rank of subfamily to that of subtribe, is presented, including a synopsis of the diversity recorded for each genus. An enumerated checklist of the accepted species and a comprehensive index of accepted names and synonyms are also provided. The index is cross-referenced with both the checklist and the main catalogue. New combinations for Andreettaea fimbriata and Camaridium muscoides are proposed. Photographs of representative species from the majority of genera, based on Costa Rican vouchers, are included. We expect that this catalogue will inspire orchidological and botanical research in Costa Rica and other Neotropical regions, leading to additional discoveries in the upcoming years

Analysis Of The Influence Of Health Workforce, Educational Infrastructure, And Non-Food Per Capita Expenditure On The Human Development Index (HDI) In Humbang Hasundutan Regency

This study delves into the factors influencing the Human Development Index (HDI) in Indonesia, particularly in North Sumatra and Humbang Hasundutan Regency. While Indonesia holds the 114th position globally, North Sumatra ranks 15th among provinces, and Humbang Hasundutan Regency's specific rank within the 33 regencies/cities in North Sumatra awaits clarification. Employing multiple linear regression with SPSS 26 and analyzing 2005-2022 time series data, the research identifies the number of health workers and educational infrastructure as significant determinants positively impacting HDI. In contrast, non-food per capita expenditure shows no substantial influence. These findings underscore the pivotal role of prioritizing health and education for sustained socio-economic development in the specified regions, urging policymakers to concentrate efforts on bolstering these key determinants.

Overlearned sequence and perceived time: possible involvement of attention.

Overlearned sequences, characterized by specific ordinal ranks for each element, elicit strong predictions when presented in their natural order. The present study aimed to test the role of predictions on the perceived duration in a stimulus series that followed an overlearned sequence. Participants judged the duration of the target digit in a sequence that followed a regular or random order, while the overall context in which these sequences were presented was varied in two blocks. The results suggest that, with the possible involvement of attention, the target element that followed the regular order was perceived to be relatively accurate. The violation of an overlearned sequence leads to an underestimation of duration, particularly when the participants are aware of the violation. Further, the perceived duration of the target element in an overlearned sequence does not modulate as a function of the global context. These findings contribute to our understanding of the differential effect of various predictive processes on perceived time.

Nomenclatural types of some Pyrenean and Iberian Pedicularis (Orobanchaceae)

ABSTRACT We present a list of nomenclatural types of 20 Pedicularis names at the specific or infraspecific rank present in the Pyrenees and/or the Iberian Peninsula. None of them has been explicitly typified to date. We studied materials from about twenty European herbaria, enabling us to locate and document the holotypes of seven of the names, as well as designate the lectotypes for 12 (a drawing in the case of Pedicularis lusitanica), a neotype for P. kerneri and an epitype for P. lusitanica. Other syntypes, isolectotypes and isoepitypes that could be located are also recorded in the list. Regarding the geographical origin, seven of the types were collected from the Pyrenees, such as those of the widespread P. pyrenaica and P. mixta, 10 from the rest of the Iberian Peninsula (three in Portugal and three in the Cantabrian range), and two from the Alps (those of P. allionii and P. kerneri, both also present in the Pyrenees). Finally, for the Cantabrian endemic plant first described as P. pyrenaica var. fallax, we propose the replacement name P. picoeuropeana.